Cereal is an essential source of calories and protein for the global population.Accurately predicting cereal quality before harvest is highly desirable in order to optimise management for farmers,grading harvest and c...Cereal is an essential source of calories and protein for the global population.Accurately predicting cereal quality before harvest is highly desirable in order to optimise management for farmers,grading harvest and categorised storage for enterprises,future trading prices,and policy planning.The use of remote sensing data with extensive spatial coverage demonstrates some potential in predicting crop quality traits.Many studies have also proposed models and methods for predicting such traits based on multiplatform remote sensing data.In this paper,the key quality traits that are of interest to producers and consumers are introduced.The literature related to grain quality prediction was analyzed in detail,and a review was conducted on remote sensing platforms,commonly used methods,potential gaps,and future trends in crop quality prediction.This review recommends new research directions that go beyond the traditional methods and discusses grain quality retrieval and the associated challenges from the perspective of remote sensing data.展开更多
Oilseed rape(Brassica napus L.) is an allotetraploid(AACC,2n=38) crop,valued for its edible oil and protein content.seed yield and nutritional composition of rapeseed are influenced by its yield and oil quality traits...Oilseed rape(Brassica napus L.) is an allotetraploid(AACC,2n=38) crop,valued for its edible oil and protein content.seed yield and nutritional composition of rapeseed are influenced by its yield and oil quality traits.However,the genetic basis of yield-related and oil-quality traits remain ambiguous.A panel of 266 diversified oilseed rape accessions was genotyped using 223 simple sequence repeat(SSR) markers covering all 19 chromosomes to identify significant markers associated with yield and quality traits.Twelve yield-related and six quality traits were investigated in two consecutive years(2014 and 2015),with three replications in two environments(Changshun,CS;and Qinghe,QH).Using the model GLM with population structure and kinship(Q+K),a total of 25 significant SSR markers(P <0.001) were detected to be associated with these twelve yield-related and six quality traits,explaining 4.56%-19.17% of the phenotypic variation for each trait.Based on these markers,BnaA03g23490D, BnaC09g46370D,BnaA07g37150D,BnaA01g32590D, and BnaC09g37280D were identified as pleiotropic genes controlling multiple traits.These candidate genes illustrated the potential for the genetic understanding of yield and oil quality traits.Most importantly,these significant markers can be used for marker-assisted breeding of oilseed rape in different environments.展开更多
Background Pork quality can directly affect customer purchase tendency and meat quality traits have become valu-able in modern pork production.However,genetic improvement has been slow due to high phenotyping costs.In...Background Pork quality can directly affect customer purchase tendency and meat quality traits have become valu-able in modern pork production.However,genetic improvement has been slow due to high phenotyping costs.In this study,whole genome sequence(WGS)data was used to evaluate the prediction accuracy of genomic best linear unbiased prediction(GBLUP)for meat quality in large-scale crossbred commercial pigs.Results We produced WGS data(18,695,907 SNPs and 2,106,902 INDELs exceed quality control)from 1,469 sequenced Duroc×(Landrace×Yorkshire)pigs and developed a reference panel for meat quality including meat color score,marbling score,L*(lightness),a*(redness),and b*(yellowness)of genomic prediction.The prediction accuracy was defined as the Pearson correlation coefficient between adjusted phenotypes and genomic estimated breeding values in the validation population.Using different marker density panels derived from WGS data,accuracy differed substantially among meat quality traits,varied from 0.08 to 0.47.Results showed that MultiBLUP outperform GBLUP and yielded accuracy increases ranging from 17.39%to 75%.We optimized the marker density and found medium-and high-density marker panels are beneficial for the estimation of heritability for meat quality.Moreover,we conducted genotype imputation from 50K chip to WGS level in the same population and found average concord-ance rate to exceed 95%and r^(2)=0.81.Conclusions Overall,estimation of heritability for meat quality traits can benefit from the use of WGS data.This study showed the superiority of using WGS data to genetically improve pork quality in genomic prediction.展开更多
In sweet cherry(Prunus avium L.),large variability exists for various traits related to fruit quality.There is a need to discover the genetic architecture of these traits in order to enhance the efficiency of breeding...In sweet cherry(Prunus avium L.),large variability exists for various traits related to fruit quality.There is a need to discover the genetic architecture of these traits in order to enhance the efficiency of breeding strategies for consumer and producer demands.With this objective,a germplasm collection consisting of 116 sweet cherry accessions was evaluated for 23 agronomic fruit quality traits over 2-6 years,and characterized using a genotyping-by-sequencing approach.The SNP coverage collected was used to conduct a genome-wide association study using two multilocus models and three reference genomes.We identified numerous SNP-trait associations for global fruit size(weight,width,and thickness),fruit cracking,fruit firmness,and stone size,and we pinpointed several candidate genes involved in phytohormone,calcium,and cell wall metabolisms.Finally,we conducted a precise literature review focusing on the genetic architecture of fruit quality traits in sweet cherry to compare our results with potential colocalizations of marker-trait associations.This study brings new knowledge of the genetic control of important agronomic traits related to fruit quality,and to the development of marker-assisted selection strategies targeted towards the facilitation of breeding efforts.展开更多
Despite the longstanding importance of silage as a critical feed source for ruminants,its quality improvement has been largely overlooked.Although numerous quantitative trait loci(QTL)and genes affecting silage qualit...Despite the longstanding importance of silage as a critical feed source for ruminants,its quality improvement has been largely overlooked.Although numerous quantitative trait loci(QTL)and genes affecting silage quality in maize have been reported,only a few have been effectively incorporated into breeding programs.Addressing this gap,the present study undertook a comprehensive meta-QTL(MQTL)analysis involving 523 QTL associated with silage-quality traits collected from 14 published studies.Of the 523 QTL,405 were projected onto a consensus map comprising 62,424 genetic markers,resulting in the identification of 60 MQTL and eight singletons.The average confidence interval(CI)of the MQTL was 3.9-fold smaller than that of the source QTL.Nine of the 60 identified MQTL were classified as breeder’s MQTL owing to their small CIs,involvement of more QTL,and large contribution to phenotypic variation.One-third of the MQTL co-localized with DNA marker-trait associations identified in previous genomewide association mapping studies.A set of 78 high-confidence candidate genes influencing silage quality were identified in the MQTL regions.These genes and associated markers may advance marker-assisted breeding for maize silage quality.展开更多
As a major abiotic stress,drought causes instability and deterioration of malt barley quality.There is distinct difference among barley cultivars in the responses of the main malt quality traits to drought stress.In t...As a major abiotic stress,drought causes instability and deterioration of malt barley quality.There is distinct difference among barley cultivars in the responses of the main malt quality traits to drought stress.In the previous study,we identified some Tibetan wild barley accessions with relatively less change of malt quality traits under drought.In this study,we examined the impact of drought stress during grain filling stage on grain weight and several important malt quality traits,including total protein content,β-glucan content,limit dextrinase activity,β-amylase activity,and protein fractions in four barley genotypes(two Tibetan wild accessions and two cultivars).Drought treatment reduced grain weight,β-glucan content,and increased total protein content,β-amylase activity.These changes differed among barley genotypes and treatments,and are closely associated with grain filling process and kernel weight.All the results indicated Tibetan wild barley had great potential for developing drought tolerant barley cultivars.Relatively stable kernel weight or filling process under water stress should be highlighted in malt barley breeding in order to reduce the effect of water stress on malt barley quality.展开更多
Cotton is one of the most important economic crops in the world,and it provides natural fiber for the textile industry.With the advancement of the textile technology and increased consumption demands on cotton fiber,b...Cotton is one of the most important economic crops in the world,and it provides natural fiber for the textile industry.With the advancement of the textile technology and increased consumption demands on cotton fiber,both cotton yield and quality should be enhanced.However,cotton yield展开更多
Background:Genetic improvement in fiber quality is one of the main challenges for cotton breeders.Quantitative trait loci(QTL)mapping provides a powerful approach to dissect the molecular mechanism in fiber quality tr...Background:Genetic improvement in fiber quality is one of the main challenges for cotton breeders.Quantitative trait loci(QTL)mapping provides a powerful approach to dissect the molecular mechanism in fiber quality traits.In present study,F14 recombinant inbred line(RIL)population was backcrossed to paternal parent for a paternal backcross(BC/P)population,deriving from one upland cotton hybrid.Three repetitive BC/P field trials and one maternal backcross(BC/M)field trial were performed including both two BC populations and the original RIL population.Results:In total,24 novel QTLs are detected for fiber quality traits and among which 13 QTLs validated previous results.Thirty-five QTLs in BC/P populations explain 5.01%–22.09%of phenotype variation(PV).Among the 35 QTLs,23 QTLs are detected in BC/P population alone.Present study provides novel alleles of male parent for fiber quality traits with positive genetic effects.Particularly,qFS-Chr3–1 explains 22.09%of PV in BC/P population,which increaseds 0.48 cN·tex−1 for fiber strength.A total of 7,2,8,2 and 6 QTLs explain over 10.00%of PV for fiber length,fiber uniformity,fiber strength,fiber elongation and fiber micronaire,respectively.In RIL population,six common QTLs are detected in more than one environment:qFL-Chr1–2,qFS-Chr5–1,qFS-Chr9–1,qFS-Chr21–1,qFM-Chr9–1 and qFM-Chr9–2.Two common QTLs of qFE-Chr2–2(TMB2386-SWU12343)and qFM-Chr9–1(NAU2873-CGR6771)explain 22.42%and 21.91%of PV.The region between NAU4034 and TMB1296 harbor 30 genes(379 kb)in A05 and 42 genes(49 kb)in D05 for fiber length along the QTL qFL-Chr5–1 in BC/P population,respectively.In addition,a total of 142 and 46 epistatic QTLs and QTL×environments(E-QTLs and QQEs)are identified in recombinant inbred lines in paternal backcross(RIL-P)and paternal backcross(BC/P)populations,respectively.Conclusions:The present studies provide informative basis for improving cotton fiber quality in different populations.展开更多
Background:Meta-analysis of quantitative trait locus(QTL)is a computational technique to identify consensus QTL and refine QTL positions on the consensus map from multiple mapping studies.The combination of meta-QTL i...Background:Meta-analysis of quantitative trait locus(QTL)is a computational technique to identify consensus QTL and refine QTL positions on the consensus map from multiple mapping studies.The combination of meta-QTL intervals,significant SNPs and transcriptome analysis has been widely used to identify candidate genes in various plants.Results:In our study,884 QTLs associated with cotton fiber quality traits from 12 studies were used for meta-QTL analysis based on reference genome TM-1,as a result,74 meta-QTLs were identified,including 19 meta-QTLs for fiber length;18 meta-QTLs for fiber strength;11 meta-QTLs for fiber uniformity;11 meta-QTLs for fiber elongation;and 15 meta-QTLs for micronaire.Combined with 8589 significant single nucleotide polymorphisms associated with fiber quality traits collected from 15 studies,297 candidate genes were identified in the meta-QTL intervals,20 of which showed high expression levels specifically in the developing fibers.According to the function annotations,some of the 20 key candidate genes are associated with the fiber development.Conclusions:This study provides not only stable QTLs used for marker-assisted selection,but also candidate genes to uncover the molecular mechanisms for cotton fiber development.展开更多
Understanding the variation for the expressionof genes in different environments is one of themajor goals in qualitative genetics. In this pa-per, the genetic models for quantitative traitsof endosperm in cereal crops...Understanding the variation for the expressionof genes in different environments is one of themajor goals in qualitative genetics. In this pa-per, the genetic models for quantitative traitsof endosperm in cereal crops were used to eval-uate the seed, cytoplasm and maternal geneticeffects as well as the genotype × environment(GE) interaction effects, and to predict thebreeding value of parents and genotypic corre-lation for nutrient quality traits of indica rice (Oryza sativa L.).展开更多
Cotton is the worlds leading natural fiber crop,and it is the cornerstone of textile industries worldwide.The cotton industry is confronted with problems in cost of production and
Genetic diversity and comprehensive performance are the basis for the discovery and efficient use of proso millet(Panicum miliaceum L.) core collections. In this study, 386 proso millet core collections were used as m...Genetic diversity and comprehensive performance are the basis for the discovery and efficient use of proso millet(Panicum miliaceum L.) core collections. In this study, 386 proso millet core collections were used as materials to observe inflorescence color, leaf phase, inflorescence density, axis shape, branched spike length, panicle type, trichome, measured area of the top3 leaves, and chlorophyll content of the top3 leaves at filling stage. These core collections were also used to record growth period, plant height, diameter of main stem, plant tiller number, branch number, panicle length, panicle number per plant, and panicle weight per plant at the maturation stage. Starch, fat, protein, and yellow pigment contents in the grain and 1 000-seed weight were also measured after harvest. Then, quantitative traits were used for diversity analysis and comprehensive evaluation of each collection. Correlations between all traits were also analyzed. Results showed that among the 8 quality traits, the Shannon index(H′) of hull color was the highest(1.588) followed by the H′ of inflorescence density(0.984). However, inflorescence color and axis shape were lower. The H′ of 16 quantitative traits were significantly higher than the quality traits with the following traits having the highest indices: fat content(2.092), 1 000-seed weight(2.073), top3 leaves area(2.070), main stem diameter(2.056), and plant height(2.052). Furthermore, all other traits had a diversity higher than 1.900. After a comprehensive evaluation of phenotypic traits, plant height, diameter of main stem, plant tiller number, leaf area of top3 leaves, and 1 000-seed weight were the biggest contributors to the principal components. Six high-fat and high-protein cultivars, including Nuoshu, A75-2, Zhiduoaosizhi, Panlonghuangmi, Xiaobaishu, and Xiaohongshu were also screened. Correlations between the quantitative traits were significant, including the correlation between quality traits and quantitative traits. In conclusion, the core collections can be used as basis for discriminating among proso millet cultivars based on related traits and for further studies on millet with rich genetic diversity, good representation, and significant collection between traits.展开更多
Analysis of genetic correlations was conducted for cooking and nutrient quality traits of milled rice in indica rice(Oryza sativa L.subsp.indicc)by using a genetic model for endosperm traits of cereal crops.It was ind...Analysis of genetic correlations was conducted for cooking and nutrient quality traits of milled rice in indica rice(Oryza sativa L.subsp.indicc)by using a genetic model for endosperm traits of cereal crops.It was indicated by the results that the relationships between gel consistency and protein content,protein content and the ratio of lysine content to protein content,and protein index and the ratio of lysine content to protein content were mainly controlled by additive effects,but also affected by some dominanceeffects.The genetic correlations between amylose content and lysine content,gel consistency and protein index,and between gel consistency and the ratio of lysine content to protein content showed that relationships for these traits were mainly controlled by some dominance effects.Indirect selection for those traits controlled mainly by additive correlations was better than those mainly controlled by dominance correlations.The results in this experiment could be used in rice breeding.展开更多
Wheat(Triticum aestivum L.) grain quality traits that are controlled by quantitative traits loci(QTL) define suitable growing areas and potential end-use products of a wheat cultivar. To dissect QTL for these traits i...Wheat(Triticum aestivum L.) grain quality traits that are controlled by quantitative traits loci(QTL) define suitable growing areas and potential end-use products of a wheat cultivar. To dissect QTL for these traits including protein content(GPC); test weight(TW); single kernel characterization system(SKCS)-estimated kernel weight(SKW); kernel diameter(KD);kernel hardness measured by near-infrared reflectance spectroscopy(NIRS) hardness index(NHI); and SKCS-hardness index(SHI), a high-density genetic map with single nucleotide polymorphism(SNP) and simple sequence repeat(SSR) markers was developed using recombinant inbred lines(RILs) derived from Ning7840 × Clark. The RILs were evaluated for these quality traits in seven Oklahoma environments from 2001 to 2003. A total of 41 QTL with additive effects on different traits were mapped on most wheat chromosomes,excluding 1A, 2A, 3D, 4D, 6D, and 7B. Seven chromosome regions showed either tightly linked QTL or QTL with pleiotropic effects on two to four traits. Ten pairs of QTL showed additive × additive effects(AA), four QTL were involved in additive × environment(AE)effects, and one was involved in AAE effects. Two to eleven QTL for each of the six traits and139 tightly linked markers to these QTL were identified. The findings shed light on the inheritance of wheat grain quality traits and provide DNA markers for manipulating these important traits to improve quality of new wheat cultivars.展开更多
Because the use of phosphates has being recently diminished in meat industry due to the nutritional drawbacks of phosphates, some researchers started to evaluate sodium bicarbonate as phosphate replacer in meat produc...Because the use of phosphates has being recently diminished in meat industry due to the nutritional drawbacks of phosphates, some researchers started to evaluate sodium bicarbonate as phosphate replacer in meat products. The aim of this study was to evaluate the effect of different temperature combinations of dry air-cooking treatments (Air and Core temperatures: 160 - 76, 160 - 80, 200 - 76 and 200℃ - 80℃, respectively) on chemical composition, texture properties, water activity, freezable water and bound water, color, pH, and water binding capacity of phosphate and bicarbonate-marinated chicken breast. A batch of 24 h post-mortem broiler breast meat of 80 fillets was divided into two groups of marination treatments (0.3% sodium bicarbonate n = 40, 0.3% sodium tripolyphosphate n = 40) and was vacuum tumbled (45 min, ?0.95 mbar, 20 rpm). Different temperature-combinations cooking treatments significantly modified the chemical composition. Bicarbonate marinated fillets showed higher ability to retain water (67.3% vs. 65.7%, P 0.05) during severe heat treatment and lower cook losses (30.7% vs. 33.4%, P 0.05) when compared with phosphate-marinated fillets. The effect of changing the cooking temperatures on Texture Profile Analysis (hardness, cohesiveness, gumminess, springiness, and chewiness) was more tangible in phosphate marinated fillets than bicarbonate. Bicarbonate-marinated fillets showed significant differences in the percentage of bound water, latent heat, and water activity after cooking in comparison to phosphate-marinated fillets. The results of this study revealed that phosphate-marinated fillets interacted with heat treatments in different patterns in comparison with bicarbonate-marinated fillets.展开更多
Grain appearance quality traits,measured as grain length(GL),grain width(GW),length to width ratio(LWR),grain thickness(GT) and the percentage of grain with chalkiness(PGWC),as well as 1 000-grain weight(TGW),are very...Grain appearance quality traits,measured as grain length(GL),grain width(GW),length to width ratio(LWR),grain thickness(GT) and the percentage of grain with chalkiness(PGWC),as well as 1 000-grain weight(TGW),are very important factors that contribute to rice grain quality and yield.To detect quantitative trait loci(QTLs) affecting these traits,we developed a set of recombinant inbred lines(RILs) derived from Gang46B(G46B) and K1075,a G46 B introgression line with lower PGWC.Based on a linkage map containing 33 simple sequence repeat(SSR) markers,a total of 15 additive QTLs governing six measured traits were identified on 4 chromosomes across two environments.Of these,the five major QTLs which controlled GW,LWR,GT,PGWC,and TGW,each explaining up to 44.30,55.29,62.30,30.94,and 28.78%of the variation,respectively,were found in the same interval of RM18004-RM18068 on chromosome 5.The G46 B alleles contributed to the increase in GW,GT and PGWC at all loci,as well as the increase in TGW at its major QTL locus.Significant interactions between additive QTL and the environment were found at most loci,in which the largest,accounting for15.06%of variation,was observed between qPGWC-5 and the environment.A total of 15 epistasis QTLs were detected for all the traits,and GL,GW and PGWC had significant epistasis QTLs based on environment interactions with minor effects.These results are valuable for future map-based cloning of the QTLs and the collaborative improvement of G46 B in grain appearance quality and yield.展开更多
The availability of elite germplasm resources with high yield and quality potentials is very important for development of cultivars in wheat. Thus, seeking such resources has been the continuous effort of breeder comm...The availability of elite germplasm resources with high yield and quality potentials is very important for development of cultivars in wheat. Thus, seeking such resources has been the continuous effort of breeder community. In this study, genetic analysis of a novel resource, Triticum spelta line CSCR6, from Australia was made by use of a recombination inbred line (RIL) population of 82 individuals from the cross between CSCR6 and another Australian hexaploid wheat cultivar, Lang. Data of a multiple environmental test was employed to genetically dissect quantitative trait loci (QTL) for agronomic traits such as plant height (PH), spike length (SL), spikelet per spike (SPI), grain number per spike (GNS) and thousand grains weight (TGW) and for quality traits including grain protein content (GPC), gluten content (GC), grain hardness (GH), falling number (FN) and sedimentation value (SV). A 24 QTLs with additive effects were detected for all the investigated traits, and were located on chromosomes 1B, 1D, 2B, 3A, 3B, 3D, 4B, 5A, 5B, 7A, and 7B, respectively. Some QTLs located on 2B and 4B showed higher explanation of phenotypic variances and were not obviously interacted with environment. A QTL in the marker interval of wPT-5334-wPT-4918 (near the locus barc 0199) on 4B gave the highest contribution ratio of 30.76% on PH, while Qgpc-4B and Qgc-4B gave 13.07 and 14.70% contribution ratio on GPC and GC, respectively. Qph-2B, Qgns-2B, and Qgpc-2B showed 13.36, 10.00, and 10.79% contribution ratio on PH, GNS and GPC, respectively. Also, a QTL on 5A, Qsl- 5A, could explain 25.12% of phenotypic variance on SL. For most of agronomic and quality traits, CSCR6 alleles produced increase effects. The fact that a number of loci affecting the investigated traits were detected in T. spelta line CSCR6 revealed that it could offer a new opportunity for the manipulation of these traits in wheat breeding programs.展开更多
Sixty sexually mature purebred black-skinned Archachatina marginata snails with weight ranging from 120.50 g to 135.70 g were used to generate eggs in this study. The eggs collected were incubated in a chamber filled ...Sixty sexually mature purebred black-skinned Archachatina marginata snails with weight ranging from 120.50 g to 135.70 g were used to generate eggs in this study. The eggs collected were incubated in a chamber filled with loamy soil for appropriate observation and assessment (cracking at four days intervals to check snailet’s development). Results obtained from the study showed that at laying snail egg weights ranged from 1.54 - 2.45 g (mean of 2.00 g). The egg lengths and widths ranged from 13.50 - 16.90 mm (mean of 15.20 mm) and 10.00 - 12.70 mm (mean of 11.40 mm) respectively. The results also revealed that at laying (day one) the egg content was translucent or clear (blank) when observed with light from a powered microscope. Observation of eggs on day four showed the formation of embryo with a semi-transparent cup attached to a long string body. On day 12, some specific organs of the snailet had developed, and there was a reduction in the liquid content. On day 28, the snailet was fully formed, but the shell still contained very small volume of liquid. The snailet hatched on day 29.展开更多
Fruit quality traits play a significant role in consumer preferences and consumption in blueberry(Vaccinium corymbosum L).The objectives of this study were to construct a high-density linkage map and to identify the u...Fruit quality traits play a significant role in consumer preferences and consumption in blueberry(Vaccinium corymbosum L).The objectives of this study were to construct a high-density linkage map and to identify the underlying genetic basis of fruit quality traits in blueberry.A total of 287 F_(1) individuals derived from a cross between two southern highbush blueberry cultivars,‘Reveille’and‘Arlen’,were phenotyped over three years(2016–2018)for fruit quality-related traits,including titratable acidity,pH,total soluble solids,and fruit weight.A high-density linkage map was constructed using 17k single nucleotide polymorphisms markers.The linkage map spanned a total of 1397 cM with an average inter-loci distance of 0.08 cM.The quantitative trait loci interval mapping based on the hidden Markov model identified 18 loci for fruit quality traits,including seven loci for fruit weight,three loci for titratable acidity,five loci for pH,and three loci for total soluble solids.Ten of these loci were detected in more than one year.These loci explained phenotypic variance ranging from 7 to 28% for titratable acidity and total soluble solid,and 8-13% for pH.However,the loci identified for fruit weight did not explain more than 10%of the phenotypic variance.We also reported the association between fruit quality traits and metabolites detected by Proton nuclear magnetic resonance analysis directly responsible for these fruit quality traits.Organic acids,citric acid,and quinic acid were significantly(P<0.05)and positively correlated with titratable acidity.Sugar molecules showed a strong and positive correlation with total soluble solids.Overall,the study dissected the genetic basis of fruit quality traits and established an association between these fruit quality traits and metabolites.展开更多
Background:The possibility of assessing meat quality traits over the meat chain is strongly limited,especially in the context of selective breeding which requires a large number of phenotypes.The main objective of thi...Background:The possibility of assessing meat quality traits over the meat chain is strongly limited,especially in the context of selective breeding which requires a large number of phenotypes.The main objective of this study was to investigate the suitability of portable infrared spectrometers for phenotyping beef cattle aiming to genetically improving the quality of their meat.Meat quality traits(pH,color,water holding capacity,tenderness)were appraised on rib eye muscle samples of 1,327 Piemontese young bulls using traditional(i.e.,reference/gold standard)laboratory analyses;the same traits were also predicted from spectra acquired at the abattoir on the intact muscle surface of the same animals 1 d after slaughtering.Genetic parameters were estimated for both laboratory measures of meat quality traits and their spectra-based predictions.Results:The prediction performances of the calibration equations,assessed through external validation,were satisfactory for color traits(R^(2) from 0.52 to 0.80),low for pH and purge losses(R^(2) around 0.30),and very poor for cooking losses and tenderness(R^(2) below 0.20).Except for lightness and purge losses,the heritability estimates of most of the predicted traits were lower than those of the measured traits while the genetic correlations between measured and predicted traits were high(average value 0.81).Conclusions:Results showed that NIRS predictions of color traits,pH,and purge losses could be used as indicator traits for the indirect genetic selection of the reference quality phenotypes.Results for cooking losses were less effective,while the NIR predictions of tenderness were affected by a relatively high uncertainty of estimate.Overall,genetic selection of some meat quality traits,whose direct phenotyping is difficult,can benefit of the application of infrared spectrometers technology.展开更多
基金This study was supported by the National Natural Science Foundation of China(42271396)the Natural Science Foundation of Shandong Province(ZR2022MD017)+1 种基金the Key R&D Project of Hebei Province(22326406D)The European Space Agency(ESA)and Ministry of Science and Technology of China(MOST)Dragon(57457).
文摘Cereal is an essential source of calories and protein for the global population.Accurately predicting cereal quality before harvest is highly desirable in order to optimise management for farmers,grading harvest and categorised storage for enterprises,future trading prices,and policy planning.The use of remote sensing data with extensive spatial coverage demonstrates some potential in predicting crop quality traits.Many studies have also proposed models and methods for predicting such traits based on multiplatform remote sensing data.In this paper,the key quality traits that are of interest to producers and consumers are introduced.The literature related to grain quality prediction was analyzed in detail,and a review was conducted on remote sensing platforms,commonly used methods,potential gaps,and future trends in crop quality prediction.This review recommends new research directions that go beyond the traditional methods and discusses grain quality retrieval and the associated challenges from the perspective of remote sensing data.
基金supported by National Natural Science Foundation of China(No.32070217)Subsidy project from NSFC of Guizhou Academy of Agricultural Sciences(No.[2021]50)+2 种基金The Scientific and Technological Key Program of Guizhou province(No.Qiankehezhicheng[2022]Key 031,025and 026)The Agricultural Scientific and Technological Research Projects of Guizhou province(No.Qiankehezhicheng[2020]1Y109 and 1Y106Youth Foundation of Guizhou Academy of Agricultural Sciences(No.[2021]07).
文摘Oilseed rape(Brassica napus L.) is an allotetraploid(AACC,2n=38) crop,valued for its edible oil and protein content.seed yield and nutritional composition of rapeseed are influenced by its yield and oil quality traits.However,the genetic basis of yield-related and oil-quality traits remain ambiguous.A panel of 266 diversified oilseed rape accessions was genotyped using 223 simple sequence repeat(SSR) markers covering all 19 chromosomes to identify significant markers associated with yield and quality traits.Twelve yield-related and six quality traits were investigated in two consecutive years(2014 and 2015),with three replications in two environments(Changshun,CS;and Qinghe,QH).Using the model GLM with population structure and kinship(Q+K),a total of 25 significant SSR markers(P <0.001) were detected to be associated with these twelve yield-related and six quality traits,explaining 4.56%-19.17% of the phenotypic variation for each trait.Based on these markers,BnaA03g23490D, BnaC09g46370D,BnaA07g37150D,BnaA01g32590D, and BnaC09g37280D were identified as pleiotropic genes controlling multiple traits.These candidate genes illustrated the potential for the genetic understanding of yield and oil quality traits.Most importantly,these significant markers can be used for marker-assisted breeding of oilseed rape in different environments.
基金supported by a Technical Innovation of Crossbred in Swine and Breed High Fertility Lines Project(2022B0202090002)a Local Innovative and Research Teams Project of Guangdong Province(2019BT02N630)+1 种基金a Natural Science Foundation of Guangdong Province project(2018B030313011)Innovative Teams of Modern Agriculture and Industry Technology System of Guangdong Province(2022KJ26).
文摘Background Pork quality can directly affect customer purchase tendency and meat quality traits have become valu-able in modern pork production.However,genetic improvement has been slow due to high phenotyping costs.In this study,whole genome sequence(WGS)data was used to evaluate the prediction accuracy of genomic best linear unbiased prediction(GBLUP)for meat quality in large-scale crossbred commercial pigs.Results We produced WGS data(18,695,907 SNPs and 2,106,902 INDELs exceed quality control)from 1,469 sequenced Duroc×(Landrace×Yorkshire)pigs and developed a reference panel for meat quality including meat color score,marbling score,L*(lightness),a*(redness),and b*(yellowness)of genomic prediction.The prediction accuracy was defined as the Pearson correlation coefficient between adjusted phenotypes and genomic estimated breeding values in the validation population.Using different marker density panels derived from WGS data,accuracy differed substantially among meat quality traits,varied from 0.08 to 0.47.Results showed that MultiBLUP outperform GBLUP and yielded accuracy increases ranging from 17.39%to 75%.We optimized the marker density and found medium-and high-density marker panels are beneficial for the estimation of heritability for meat quality.Moreover,we conducted genotype imputation from 50K chip to WGS level in the same population and found average concord-ance rate to exceed 95%and r^(2)=0.81.Conclusions Overall,estimation of heritability for meat quality traits can benefit from the use of WGS data.This study showed the superiority of using WGS data to genetically improve pork quality in genomic prediction.
基金We thank the Prunus/Juglans Biological Resources Center managed by the INRAE Fruit Tree Experimental Unit for performing part of the phenotyping and for maintenance of the collection.This work was supported by the Région Nouvelle-Aquitaine with the project CerGEn reference 2018-1R20203,which funded the postdoctoral fellowship for A.S.L.D.
文摘In sweet cherry(Prunus avium L.),large variability exists for various traits related to fruit quality.There is a need to discover the genetic architecture of these traits in order to enhance the efficiency of breeding strategies for consumer and producer demands.With this objective,a germplasm collection consisting of 116 sweet cherry accessions was evaluated for 23 agronomic fruit quality traits over 2-6 years,and characterized using a genotyping-by-sequencing approach.The SNP coverage collected was used to conduct a genome-wide association study using two multilocus models and three reference genomes.We identified numerous SNP-trait associations for global fruit size(weight,width,and thickness),fruit cracking,fruit firmness,and stone size,and we pinpointed several candidate genes involved in phytohormone,calcium,and cell wall metabolisms.Finally,we conducted a precise literature review focusing on the genetic architecture of fruit quality traits in sweet cherry to compare our results with potential colocalizations of marker-trait associations.This study brings new knowledge of the genetic control of important agronomic traits related to fruit quality,and to the development of marker-assisted selection strategies targeted towards the facilitation of breeding efforts.
文摘Despite the longstanding importance of silage as a critical feed source for ruminants,its quality improvement has been largely overlooked.Although numerous quantitative trait loci(QTL)and genes affecting silage quality in maize have been reported,only a few have been effectively incorporated into breeding programs.Addressing this gap,the present study undertook a comprehensive meta-QTL(MQTL)analysis involving 523 QTL associated with silage-quality traits collected from 14 published studies.Of the 523 QTL,405 were projected onto a consensus map comprising 62,424 genetic markers,resulting in the identification of 60 MQTL and eight singletons.The average confidence interval(CI)of the MQTL was 3.9-fold smaller than that of the source QTL.Nine of the 60 identified MQTL were classified as breeder’s MQTL owing to their small CIs,involvement of more QTL,and large contribution to phenotypic variation.One-third of the MQTL co-localized with DNA marker-trait associations identified in previous genomewide association mapping studies.A set of 78 high-confidence candidate genes influencing silage quality were identified in the MQTL regions.These genes and associated markers may advance marker-assisted breeding for maize silage quality.
基金supported by the National Natural Science Foundation of China(31620103912)the earmarked fund for China Agriculture Research System(CARS-05)the Jiangsu Collaborative Innovation Center for Modern Crop Production,China(JCIC-MCP)。
文摘As a major abiotic stress,drought causes instability and deterioration of malt barley quality.There is distinct difference among barley cultivars in the responses of the main malt quality traits to drought stress.In the previous study,we identified some Tibetan wild barley accessions with relatively less change of malt quality traits under drought.In this study,we examined the impact of drought stress during grain filling stage on grain weight and several important malt quality traits,including total protein content,β-glucan content,limit dextrinase activity,β-amylase activity,and protein fractions in four barley genotypes(two Tibetan wild accessions and two cultivars).Drought treatment reduced grain weight,β-glucan content,and increased total protein content,β-amylase activity.These changes differed among barley genotypes and treatments,and are closely associated with grain filling process and kernel weight.All the results indicated Tibetan wild barley had great potential for developing drought tolerant barley cultivars.Relatively stable kernel weight or filling process under water stress should be highlighted in malt barley breeding in order to reduce the effect of water stress on malt barley quality.
文摘Cotton is one of the most important economic crops in the world,and it provides natural fiber for the textile industry.With the advancement of the textile technology and increased consumption demands on cotton fiber,both cotton yield and quality should be enhanced.However,cotton yield
基金the National Key R&D Program for Crop Breeding(2016YFD0101407)to Hua JP.
文摘Background:Genetic improvement in fiber quality is one of the main challenges for cotton breeders.Quantitative trait loci(QTL)mapping provides a powerful approach to dissect the molecular mechanism in fiber quality traits.In present study,F14 recombinant inbred line(RIL)population was backcrossed to paternal parent for a paternal backcross(BC/P)population,deriving from one upland cotton hybrid.Three repetitive BC/P field trials and one maternal backcross(BC/M)field trial were performed including both two BC populations and the original RIL population.Results:In total,24 novel QTLs are detected for fiber quality traits and among which 13 QTLs validated previous results.Thirty-five QTLs in BC/P populations explain 5.01%–22.09%of phenotype variation(PV).Among the 35 QTLs,23 QTLs are detected in BC/P population alone.Present study provides novel alleles of male parent for fiber quality traits with positive genetic effects.Particularly,qFS-Chr3–1 explains 22.09%of PV in BC/P population,which increaseds 0.48 cN·tex−1 for fiber strength.A total of 7,2,8,2 and 6 QTLs explain over 10.00%of PV for fiber length,fiber uniformity,fiber strength,fiber elongation and fiber micronaire,respectively.In RIL population,six common QTLs are detected in more than one environment:qFL-Chr1–2,qFS-Chr5–1,qFS-Chr9–1,qFS-Chr21–1,qFM-Chr9–1 and qFM-Chr9–2.Two common QTLs of qFE-Chr2–2(TMB2386-SWU12343)and qFM-Chr9–1(NAU2873-CGR6771)explain 22.42%and 21.91%of PV.The region between NAU4034 and TMB1296 harbor 30 genes(379 kb)in A05 and 42 genes(49 kb)in D05 for fiber length along the QTL qFL-Chr5–1 in BC/P population,respectively.In addition,a total of 142 and 46 epistatic QTLs and QTL×environments(E-QTLs and QQEs)are identified in recombinant inbred lines in paternal backcross(RIL-P)and paternal backcross(BC/P)populations,respectively.Conclusions:The present studies provide informative basis for improving cotton fiber quality in different populations.
基金This work was supported by the National Natural Science Foundation of China(31760402)Public Welfare Research Projects in the Autonomous Region(KY2019002)Special Programs for New Varieties Cultivation of Shihezi University(YZZX201701).
文摘Background:Meta-analysis of quantitative trait locus(QTL)is a computational technique to identify consensus QTL and refine QTL positions on the consensus map from multiple mapping studies.The combination of meta-QTL intervals,significant SNPs and transcriptome analysis has been widely used to identify candidate genes in various plants.Results:In our study,884 QTLs associated with cotton fiber quality traits from 12 studies were used for meta-QTL analysis based on reference genome TM-1,as a result,74 meta-QTLs were identified,including 19 meta-QTLs for fiber length;18 meta-QTLs for fiber strength;11 meta-QTLs for fiber uniformity;11 meta-QTLs for fiber elongation;and 15 meta-QTLs for micronaire.Combined with 8589 significant single nucleotide polymorphisms associated with fiber quality traits collected from 15 studies,297 candidate genes were identified in the meta-QTL intervals,20 of which showed high expression levels specifically in the developing fibers.According to the function annotations,some of the 20 key candidate genes are associated with the fiber development.Conclusions:This study provides not only stable QTLs used for marker-assisted selection,but also candidate genes to uncover the molecular mechanisms for cotton fiber development.
文摘Understanding the variation for the expressionof genes in different environments is one of themajor goals in qualitative genetics. In this pa-per, the genetic models for quantitative traitsof endosperm in cereal crops were used to eval-uate the seed, cytoplasm and maternal geneticeffects as well as the genotype × environment(GE) interaction effects, and to predict thebreeding value of parents and genotypic corre-lation for nutrient quality traits of indica rice (Oryza sativa L.).
文摘Cotton is the worlds leading natural fiber crop,and it is the cornerstone of textile industries worldwide.The cotton industry is confronted with problems in cost of production and
基金supported by the National Natural Science Foundation of China(31371529)the earmarked fund for China Agriculture Research System(CARS-06-A26)the National Key Technologies R&D Program of China during the 12th Five-Year Plan period(2014BAD07B03)
文摘Genetic diversity and comprehensive performance are the basis for the discovery and efficient use of proso millet(Panicum miliaceum L.) core collections. In this study, 386 proso millet core collections were used as materials to observe inflorescence color, leaf phase, inflorescence density, axis shape, branched spike length, panicle type, trichome, measured area of the top3 leaves, and chlorophyll content of the top3 leaves at filling stage. These core collections were also used to record growth period, plant height, diameter of main stem, plant tiller number, branch number, panicle length, panicle number per plant, and panicle weight per plant at the maturation stage. Starch, fat, protein, and yellow pigment contents in the grain and 1 000-seed weight were also measured after harvest. Then, quantitative traits were used for diversity analysis and comprehensive evaluation of each collection. Correlations between all traits were also analyzed. Results showed that among the 8 quality traits, the Shannon index(H′) of hull color was the highest(1.588) followed by the H′ of inflorescence density(0.984). However, inflorescence color and axis shape were lower. The H′ of 16 quantitative traits were significantly higher than the quality traits with the following traits having the highest indices: fat content(2.092), 1 000-seed weight(2.073), top3 leaves area(2.070), main stem diameter(2.056), and plant height(2.052). Furthermore, all other traits had a diversity higher than 1.900. After a comprehensive evaluation of phenotypic traits, plant height, diameter of main stem, plant tiller number, leaf area of top3 leaves, and 1 000-seed weight were the biggest contributors to the principal components. Six high-fat and high-protein cultivars, including Nuoshu, A75-2, Zhiduoaosizhi, Panlonghuangmi, Xiaobaishu, and Xiaohongshu were also screened. Correlations between the quantitative traits were significant, including the correlation between quality traits and quantitative traits. In conclusion, the core collections can be used as basis for discriminating among proso millet cultivars based on related traits and for further studies on millet with rich genetic diversity, good representation, and significant collection between traits.
文摘Analysis of genetic correlations was conducted for cooking and nutrient quality traits of milled rice in indica rice(Oryza sativa L.subsp.indicc)by using a genetic model for endosperm traits of cereal crops.It was indicated by the results that the relationships between gel consistency and protein content,protein content and the ratio of lysine content to protein content,and protein index and the ratio of lysine content to protein content were mainly controlled by additive effects,but also affected by some dominanceeffects.The genetic correlations between amylose content and lysine content,gel consistency and protein index,and between gel consistency and the ratio of lysine content to protein content showed that relationships for these traits were mainly controlled by some dominance effects.Indirect selection for those traits controlled mainly by additive correlations was better than those mainly controlled by dominance correlations.The results in this experiment could be used in rice breeding.
基金partly funded by the National Research Initiative Competitive Grants CAP Project 2011-68002-30029 from the USDA National Institute of Food and AgricultureScience and Technology Innovation Team Plan (2014KCT-25) from Shaanxi province, China
文摘Wheat(Triticum aestivum L.) grain quality traits that are controlled by quantitative traits loci(QTL) define suitable growing areas and potential end-use products of a wheat cultivar. To dissect QTL for these traits including protein content(GPC); test weight(TW); single kernel characterization system(SKCS)-estimated kernel weight(SKW); kernel diameter(KD);kernel hardness measured by near-infrared reflectance spectroscopy(NIRS) hardness index(NHI); and SKCS-hardness index(SHI), a high-density genetic map with single nucleotide polymorphism(SNP) and simple sequence repeat(SSR) markers was developed using recombinant inbred lines(RILs) derived from Ning7840 × Clark. The RILs were evaluated for these quality traits in seven Oklahoma environments from 2001 to 2003. A total of 41 QTL with additive effects on different traits were mapped on most wheat chromosomes,excluding 1A, 2A, 3D, 4D, 6D, and 7B. Seven chromosome regions showed either tightly linked QTL or QTL with pleiotropic effects on two to four traits. Ten pairs of QTL showed additive × additive effects(AA), four QTL were involved in additive × environment(AE)effects, and one was involved in AAE effects. Two to eleven QTL for each of the six traits and139 tightly linked markers to these QTL were identified. The findings shed light on the inheritance of wheat grain quality traits and provide DNA markers for manipulating these important traits to improve quality of new wheat cultivars.
文摘Because the use of phosphates has being recently diminished in meat industry due to the nutritional drawbacks of phosphates, some researchers started to evaluate sodium bicarbonate as phosphate replacer in meat products. The aim of this study was to evaluate the effect of different temperature combinations of dry air-cooking treatments (Air and Core temperatures: 160 - 76, 160 - 80, 200 - 76 and 200℃ - 80℃, respectively) on chemical composition, texture properties, water activity, freezable water and bound water, color, pH, and water binding capacity of phosphate and bicarbonate-marinated chicken breast. A batch of 24 h post-mortem broiler breast meat of 80 fillets was divided into two groups of marination treatments (0.3% sodium bicarbonate n = 40, 0.3% sodium tripolyphosphate n = 40) and was vacuum tumbled (45 min, ?0.95 mbar, 20 rpm). Different temperature-combinations cooking treatments significantly modified the chemical composition. Bicarbonate marinated fillets showed higher ability to retain water (67.3% vs. 65.7%, P 0.05) during severe heat treatment and lower cook losses (30.7% vs. 33.4%, P 0.05) when compared with phosphate-marinated fillets. The effect of changing the cooking temperatures on Texture Profile Analysis (hardness, cohesiveness, gumminess, springiness, and chewiness) was more tangible in phosphate marinated fillets than bicarbonate. Bicarbonate-marinated fillets showed significant differences in the percentage of bound water, latent heat, and water activity after cooking in comparison to phosphate-marinated fillets. The results of this study revealed that phosphate-marinated fillets interacted with heat treatments in different patterns in comparison with bicarbonate-marinated fillets.
基金supported by a grant from the National High-Tech R&D Program of China (2014AA10A603, 2014AA10A604)a grant from the Youth Foundation in Sichuan, China (2011JTD0022)+1 种基金the special fund for China Agricultural Research System (CARS-01-08)the Provincial Specialized Funds for Innovation Ability Promotion in Sichuan, China (2013GXJS005)
文摘Grain appearance quality traits,measured as grain length(GL),grain width(GW),length to width ratio(LWR),grain thickness(GT) and the percentage of grain with chalkiness(PGWC),as well as 1 000-grain weight(TGW),are very important factors that contribute to rice grain quality and yield.To detect quantitative trait loci(QTLs) affecting these traits,we developed a set of recombinant inbred lines(RILs) derived from Gang46B(G46B) and K1075,a G46 B introgression line with lower PGWC.Based on a linkage map containing 33 simple sequence repeat(SSR) markers,a total of 15 additive QTLs governing six measured traits were identified on 4 chromosomes across two environments.Of these,the five major QTLs which controlled GW,LWR,GT,PGWC,and TGW,each explaining up to 44.30,55.29,62.30,30.94,and 28.78%of the variation,respectively,were found in the same interval of RM18004-RM18068 on chromosome 5.The G46 B alleles contributed to the increase in GW,GT and PGWC at all loci,as well as the increase in TGW at its major QTL locus.Significant interactions between additive QTL and the environment were found at most loci,in which the largest,accounting for15.06%of variation,was observed between qPGWC-5 and the environment.A total of 15 epistasis QTLs were detected for all the traits,and GL,GW and PGWC had significant epistasis QTLs based on environment interactions with minor effects.These results are valuable for future map-based cloning of the QTLs and the collaborative improvement of G46 B in grain appearance quality and yield.
基金the Visiting Scientist Scholarship and Wheat Breeding Research Project of Hebei Province, China (06220114D)
文摘The availability of elite germplasm resources with high yield and quality potentials is very important for development of cultivars in wheat. Thus, seeking such resources has been the continuous effort of breeder community. In this study, genetic analysis of a novel resource, Triticum spelta line CSCR6, from Australia was made by use of a recombination inbred line (RIL) population of 82 individuals from the cross between CSCR6 and another Australian hexaploid wheat cultivar, Lang. Data of a multiple environmental test was employed to genetically dissect quantitative trait loci (QTL) for agronomic traits such as plant height (PH), spike length (SL), spikelet per spike (SPI), grain number per spike (GNS) and thousand grains weight (TGW) and for quality traits including grain protein content (GPC), gluten content (GC), grain hardness (GH), falling number (FN) and sedimentation value (SV). A 24 QTLs with additive effects were detected for all the investigated traits, and were located on chromosomes 1B, 1D, 2B, 3A, 3B, 3D, 4B, 5A, 5B, 7A, and 7B, respectively. Some QTLs located on 2B and 4B showed higher explanation of phenotypic variances and were not obviously interacted with environment. A QTL in the marker interval of wPT-5334-wPT-4918 (near the locus barc 0199) on 4B gave the highest contribution ratio of 30.76% on PH, while Qgpc-4B and Qgc-4B gave 13.07 and 14.70% contribution ratio on GPC and GC, respectively. Qph-2B, Qgns-2B, and Qgpc-2B showed 13.36, 10.00, and 10.79% contribution ratio on PH, GNS and GPC, respectively. Also, a QTL on 5A, Qsl- 5A, could explain 25.12% of phenotypic variance on SL. For most of agronomic and quality traits, CSCR6 alleles produced increase effects. The fact that a number of loci affecting the investigated traits were detected in T. spelta line CSCR6 revealed that it could offer a new opportunity for the manipulation of these traits in wheat breeding programs.
文摘Sixty sexually mature purebred black-skinned Archachatina marginata snails with weight ranging from 120.50 g to 135.70 g were used to generate eggs in this study. The eggs collected were incubated in a chamber filled with loamy soil for appropriate observation and assessment (cracking at four days intervals to check snailet’s development). Results obtained from the study showed that at laying snail egg weights ranged from 1.54 - 2.45 g (mean of 2.00 g). The egg lengths and widths ranged from 13.50 - 16.90 mm (mean of 15.20 mm) and 10.00 - 12.70 mm (mean of 11.40 mm) respectively. The results also revealed that at laying (day one) the egg content was translucent or clear (blank) when observed with light from a powered microscope. Observation of eggs on day four showed the formation of embryo with a semi-transparent cup attached to a long string body. On day 12, some specific organs of the snailet had developed, and there was a reduction in the liquid content. On day 28, the snailet was fully formed, but the shell still contained very small volume of liquid. The snailet hatched on day 29.
基金This research was supported by the Foundation for Food and Agriculture Research(FFAR)under award number 534667.MI and MAL were also supported by the United States Department of Agriculture National Institute of Food and Agriculture,Hatch project 1008691the National Institute of Food and Agriculture,United States Department of Agriculture,under award number 2019-51181-30015,project“VacciniumCAP:Leveraging genetic and genomic resources to enable development of blueberry and cranberry cultivars with improved fruit quality attributes”.
文摘Fruit quality traits play a significant role in consumer preferences and consumption in blueberry(Vaccinium corymbosum L).The objectives of this study were to construct a high-density linkage map and to identify the underlying genetic basis of fruit quality traits in blueberry.A total of 287 F_(1) individuals derived from a cross between two southern highbush blueberry cultivars,‘Reveille’and‘Arlen’,were phenotyped over three years(2016–2018)for fruit quality-related traits,including titratable acidity,pH,total soluble solids,and fruit weight.A high-density linkage map was constructed using 17k single nucleotide polymorphisms markers.The linkage map spanned a total of 1397 cM with an average inter-loci distance of 0.08 cM.The quantitative trait loci interval mapping based on the hidden Markov model identified 18 loci for fruit quality traits,including seven loci for fruit weight,three loci for titratable acidity,five loci for pH,and three loci for total soluble solids.Ten of these loci were detected in more than one year.These loci explained phenotypic variance ranging from 7 to 28% for titratable acidity and total soluble solid,and 8-13% for pH.However,the loci identified for fruit weight did not explain more than 10%of the phenotypic variance.We also reported the association between fruit quality traits and metabolites detected by Proton nuclear magnetic resonance analysis directly responsible for these fruit quality traits.Organic acids,citric acid,and quinic acid were significantly(P<0.05)and positively correlated with titratable acidity.Sugar molecules showed a strong and positive correlation with total soluble solids.Overall,the study dissected the genetic basis of fruit quality traits and established an association between these fruit quality traits and metabolites.
基金This research was funded by FONDAZIONE CASSA DI RISPARMIO DI CUNEO and is part of the project“QUALIPIEM-Innovative tools for the selection of meat quality in the Piemontese breed”,project number 2014/0249 coordinator Andrea Albera.
文摘Background:The possibility of assessing meat quality traits over the meat chain is strongly limited,especially in the context of selective breeding which requires a large number of phenotypes.The main objective of this study was to investigate the suitability of portable infrared spectrometers for phenotyping beef cattle aiming to genetically improving the quality of their meat.Meat quality traits(pH,color,water holding capacity,tenderness)were appraised on rib eye muscle samples of 1,327 Piemontese young bulls using traditional(i.e.,reference/gold standard)laboratory analyses;the same traits were also predicted from spectra acquired at the abattoir on the intact muscle surface of the same animals 1 d after slaughtering.Genetic parameters were estimated for both laboratory measures of meat quality traits and their spectra-based predictions.Results:The prediction performances of the calibration equations,assessed through external validation,were satisfactory for color traits(R^(2) from 0.52 to 0.80),low for pH and purge losses(R^(2) around 0.30),and very poor for cooking losses and tenderness(R^(2) below 0.20).Except for lightness and purge losses,the heritability estimates of most of the predicted traits were lower than those of the measured traits while the genetic correlations between measured and predicted traits were high(average value 0.81).Conclusions:Results showed that NIRS predictions of color traits,pH,and purge losses could be used as indicator traits for the indirect genetic selection of the reference quality phenotypes.Results for cooking losses were less effective,while the NIR predictions of tenderness were affected by a relatively high uncertainty of estimate.Overall,genetic selection of some meat quality traits,whose direct phenotyping is difficult,can benefit of the application of infrared spectrometers technology.
