Background Clostridium butyricum(CB)is a probiotic that can regulate intestinal microbial composition and improve meat quality.Rumen protected fat(RPF)has been shown to increase the dietary energy density and provide ...Background Clostridium butyricum(CB)is a probiotic that can regulate intestinal microbial composition and improve meat quality.Rumen protected fat(RPF)has been shown to increase the dietary energy density and provide essential fatty acids.However,it is still unknown whether dietary supplementation with CB and RPF exerts beneficial effects on growth performance and nutritional value of goat meat.This study aimed to investigate the effects of dietary CB and RPF supplementation on growth performance,meat quality,oxidative stability,and meat nutritional value of finishing goats.Thirty-two goats(initial body weight,20.5±0.82 kg)were used in a completely randomized block design with a 2 RPF supplementation(0 vs.30 g/d)×2 CB supplementation(0 vs.1.0 g/d)factorial treatment arrangement.The experiment included a 14-d adaptation and 70-d data and sample collection period.The goats were fed a diet consisted of 400 g/kg peanut seedling and 600 g/kg corn-based concentrate(dry matter basis).Result Interaction between CB and RPF was rarely observed on the variables measured,except that shear force was reduced(P<0.05)by adding CB or RPF alone or their combination;the increased intramuscular fat(IMF)content with adding RPF was more pronounced(P<0.05)with CB than without CB addition.The pH24h(P=0.009),a*values(P=0.007),total antioxidant capacity(P=0.050),glutathione peroxidase activities(P=0.006),concentrations of 18:3(P<0.001),20:5(P=0.003)and total polyunsaturated fatty acids(P=0.048)were increased,whereas the L*values(P<0.001),shear force(P=0.050)and malondialdehyde content(P=0.044)were decreased by adding CB.Furthermore,CB supplementation increased essential amino acid(P=0.027),flavor amino acid(P=0.010)and total amino acid contents(P=0.024)as well as upregulated the expression of lipoprotein lipase(P=0.034)and peroxisome proliferator-activated receptorγ(PPARγ)(P=0.012),and downregulated the expression of stearoyl-CoA desaturase(SCD)(P=0.034).The RPF supplementation increased dry matter intake(P=0.005),averaged daily gain(trend,P=0.058),hot carcass weight(P=0.046),backfat thickness(P=0.006),concentrations of 16:0(P<0.001)and c9-18:1(P=0.002),and decreased the shear force(P<0.001),isoleucine(P=0.049)and lysine content(P=0.003)of meat.In addition,the expressions of acetyl-CoA carboxylase(P=0.003),fatty acid synthase(P=0.038),SCD(P<0.001)and PPARγ(P=0.022)were upregulated due to RPF supplementation,resulting in higher(P<0.001)content of IMF.Conclusions CB and RPF could be fed to goats for improving the growth performance,carcass traits and meat quality,and promote fat deposition by upregulating the expression of lipogenic genes of Longissimus thoracis muscle.展开更多
Land use change significantly influences soil properties.There is little information available on the long-term effects of post-reclamation from grassland to cropland on soil properties.We compared soil carbon(C) and ...Land use change significantly influences soil properties.There is little information available on the long-term effects of post-reclamation from grassland to cropland on soil properties.We compared soil carbon(C) and nitrogen(N) storage and related soil properties in a 50-year cultivation chronosequence of grassland in the agro-pastoral ecotone of Inner Mongolia.Field surveys on land use changes during the period of 1955-2002 were conducted to build a chronosequence of cropland of different ages since the conversion from grassland.The results showed that soil C and N storage,soil texture,and soil nutrient contents varied with land use types and cropland ages(P<0.01).In the 0-30 cm soil layer,the soil organic carbon(SOC) density was significantly lower in the croplands(3.28 kg C/m2 for C50 soil) than in the grasslands(6.32 kg C/m2).After 5,10,15,20,35,and 50 years of crop planting(years since the onset of cultivation),the SOC losses were 17%,12%,19%,47%,46%,and 48%,respectively,compared with the grasslands.The soil total nitrogen(TN) density of the grasslands was 65 g N/m2,and TN density of the cropland soil was 35 g N/m2 after 50 years of crop planting.Both the SOC and TN densities could be quantitatively determined by a negative exponential function of cropland age(P<0.0001,R2=0.8528;P<0.0001,R2=0.9637).The dissolved organic carbon(DOC) content,soil available potassium(AK) content,clay content,and pH value were decreased;and the soil bulk density and sand content were increased since the conversion of grassland into cropland during the 50-year period.Our results show soil nutrients were higher in grassland than in cropland.The conversion of grasslands to croplands induced a loss of soil C storage and changes of related soil properties.The reclamation time of cultivated soil(cropland age) had significant effects on soil properties in the study area.展开更多
Background:This study was conducted to evaluate the feed nutritional value of brewers’spent grain(BSG)residue resulting from protease aided protein removal.The nutritional value was measured as nutrient content,gas p...Background:This study was conducted to evaluate the feed nutritional value of brewers’spent grain(BSG)residue resulting from protease aided protein removal.The nutritional value was measured as nutrient content,gas production,nutrient digestibility and fermentation characteristics in batch culture.Results:Protein extraction process decreased content of crude protein but concentrated the neutral detergent fibre(NDF)and ferulic acid in BSG residue.The changes in the chemical composition of BSG residue varied with enzyme and enzyme dosage.Digestibility of dry matter(DMD)and NDF of residue differed among proteases.Increasing alcalase dosage linearly decreased DMD,whereas,the DMD linearly increased as everlase or flavourzyme dosage increased.Compared with BSG,the DMD,gas production and fermentation acid concentration of BSG residues were lower,whereas NDF digestibility was higher.Conclusions:The substantially increased NDF content and improved in vitro NDF digestibility due to protease hydrolysis suggest that BSG residue can be potentially exploited as a viable fibre source for ruminant feeding.展开更多
Background: Brewers' spent grain(BSG) typically contains 20% – 29% crude protein(CP) with high concentrations of glutamine, proline and hydrophobic and non-polar amino acid, making it an ideal material for produc...Background: Brewers' spent grain(BSG) typically contains 20% – 29% crude protein(CP) with high concentrations of glutamine, proline and hydrophobic and non-polar amino acid, making it an ideal material for producing valueadded products like bioactive peptides which have antioxidant properties. For this study, protein was extracted from BSG, hydrolyzed with 1% alcalase and flavourzyme, with the generated protein hydrolysates(AlcH and FlaH)showing antioxidant activities. This study evaluated the effects of AlcH and FlaH on gas production, ruminal fermentation characteristics, nutrient disappearance, microbial protein synthesis and microbial community using an artificial rumen system(RUSITEC) fed a high-grain diet.Results: As compared to the control of grain only, supplementation of FlaH decreased(P < 0.01) disappearances of dry matter(DM), organic matter(OM), CP and starch, without affecting fibre disappearances;while AlcH had no effect on nutrient disappearance. Neither AlcH nor FlaH affected gas production or VFA profiles, however they increased(P < 0.01) NH_3-N and decreased(P < 0.01) H_2 production. Supplementation of FlaH decreased(P < 0.01)the percentage of CH_4 in total gas and dissolved-CH_4(dCH_4) in dissolved gas. Addition of monensin reduced(P < 0.01) disappearance of nutrients, improved fermentation efficiency and reduced CH_4 and H_2 emissions.Total microbial nitrogen production was decreased(P < 0.05) but the proportion of feed particle associated(FPA) bacteria was increased with FlaH and monensin supplementation. Numbers of OTUs and Shannon diversity indices of FPA microbial community were unaffected by AlcH and FlaH;whereas both indices were reduced(P < 0.05) by monensin. Taxonomic analysis revealed no effect of AlcH and FlaH on the relative abundance(RA) of bacteria at phylum level, whereas monensin reduced(P < 0.05) the RA of Firmicutes and Bacteroidetes and enhanced Proteobacteria. Supplementation of FlaH enhanced(P < 0.05) the RA of genus Prevotella, reduced Selenomonas, Shuttleworthia, Bifidobacterium and Dialister as compared to control;monensin reduced(P < 0.05) RA of genus Prevotella but enhaced Succinivibrio.Conclusions: The supplementation of FlaH in high-grain diets may potentially protect CP and starch from ruminal degradation, without adversely affecting fibre degradation and VFA profiles. It also showed promising effects on reducing CH_4 production by suppressing H_2 production. Protein enzymatic hydrolysates from BSG using flavourzyme showed potential application to high value-added bio-products.展开更多
Background:The objectives of this study were to determine the effect of commercial slow-release urea(SRU)on in vitro fermentation characteristics,nutrient digestibility,gas production,microbial protein synthesis and b...Background:The objectives of this study were to determine the effect of commercial slow-release urea(SRU)on in vitro fermentation characteristics,nutrient digestibility,gas production,microbial protein synthesis and bacterial community using a rumen simulation technique(RUSITEC).The experiment was a completely randomized design with four treatments and four replications of each treatment.Treatments were:control diet(no SRU addition),control diet plus 0.28%SRU(U28),or plus 0.56%SRU(U56),and control diet that was modified substituting a part of soybean meal equivalent to 0.35%SRU(MU35;dry matter[DM]basis).The experiment consisted of 8 d of adaptation and 7 d of data and sample collection.Rumen inoculum was obtained from three ruminally fistulated Angus cows fed the same diet to the substrate incubated.Results:Digestibility of DM,organic matter(OM),crude protein(CP),fibre and starch was not affected,but daily production of gas(P<0.07)and methane(P<0.05)was quadratically increased with increasing SRU supplementation.The increase of SRU addition did not affect fermentation pH and total volatile fatty acid(VFA)production,whereas linearly(P<0.01)decreased proportion of propionate,and linearly(P<0.01)increased acetate to propionate ratio and ammonia nitrogen(N)concentration.The microbial N efficiency was also linearly(P<0.03)improved with increasing supplementation of SRU.In comparison with control diet,the dietary substitution of SRU for part of soybean meal increased(P<0.05)the digestibility of DM,OM and CP and decreased(P<0.02)the total gas production.The total VFA production and acetate to propionate ratio did not differ between control and MU35,whereas the proportion of butyrate was lower(P<0.05)and that of branched-chain VFA was greater(P<0.05)with MU35 than control diet.Total and liquid-associated microbial N production as well as ammonia N concentration were greater(P<0.03)with MU35 than control diet.Observed operational taxonomic units(OTUs),Shannon diversity index,and beta diversity of the microbial community did not differ among treatments.Taxonomic analysis revealed no effect of adding SRU on the relative abundance of bacteria at the phylum level,while at the genus level,the beneficial impact of SRU on relative abundance of Rikenellaceae and Prevotellaceae in feed particleassociated bacteria,and the abundance of Roseburia in liquid associate bacteria was greater(P<0.05)with MU35.Conclusions:Supplementation of a dairy cow diet with SRU showed potential of increase in ammonia N concentration and microbial protein production,and change fermentation pattern to more acetate production.Adding SRU in dairy cow diet also showed beneficial effect on improving digestibility of OM and fibre.The results suggest that SRU can partially substitute soybean meal in dairy cow diet to increase microbial protein production without impairing rumen fermentation.展开更多
In machine-vision-based systems for detecting foreign fibers, due to the background of the cotton layer has the absolute advantage in the whole image, while the foreign fiber only account for a very small part, and w...In machine-vision-based systems for detecting foreign fibers, due to the background of the cotton layer has the absolute advantage in the whole image, while the foreign fiber only account for a very small part, and what’s more, the brightness and contrast of the image are all poor. Using the traditional image segmentation method, the segmentation results are very poor. By adopting the maximum entropy and genetic algorithm, the maximum entropy function was used as the fitness function of genetic algorithm. Through continuous optimization, the optimal segmentation threshold is determined. Experimental results prove that the image segmentation of this paper not only fast and accurate, but also has strong adaptability.展开更多
In order to remove the stripe noises in cotton foreign fiber images by line scanning camera collected, in multi threshold segmentation of rough set, every region’s color is instead of the statistics color of the regi...In order to remove the stripe noises in cotton foreign fiber images by line scanning camera collected, in multi threshold segmentation of rough set, every region’s color is instead of the statistics color of the region. This method can retain the detail information of original image as far as possible, and do well in the stripe noise removal. The roughness of rough set was calculated respectively using directional diagram, Canny operator and Sobel operator. Comparing the three methods, the results indicate that the Canny operator keeps the more details of image, and directional diagram and Sobel operator have the better effects on denoising.展开更多
"Who will feed China?"This was a question raised by Lester Brown,the director of the World Watch Institute in the United States,in 1994.He predicted that China's grain production would decrease from 340 ..."Who will feed China?"This was a question raised by Lester Brown,the director of the World Watch Institute in the United States,in 1994.He predicted that China's grain production would decrease from 340 million tons in 1990 to 272 million tons by 2030,a 20%decrease,while China's population would reach 1.6 billion(Brown,1995).If the dietary structure was not improved,China would need to import 200-369 million tons of grain,equivalent to the global grain trade at the time.He projected the high possibility of a food crisis in China,which might further trigger a global food crisis.However,with the joint efforts of national agricultural researchers,represented by Yuan Longping,and the Chinese government,China's grain production has achieved 18 consecutive increases from 2004 to 2021.In 2022,grain production in China reached 633 million tons(NBS and Statistics,2022),while the population remained stable at 1.4 billion.As a result,China has achieved complete self-sufficiency in its staple food supply and has demonstrated to the international community through practical actions that the Chinese people can feed themselves.展开更多
Although the genetic basis for endosperm development in maize(Zea mays)has been well studied,the mechanism for coordinating grain filling with increasing kernel size remains elusive.Here,we report that increased kerne...Although the genetic basis for endosperm development in maize(Zea mays)has been well studied,the mechanism for coordinating grain filling with increasing kernel size remains elusive.Here,we report that increased kernel size was selected during modern breeding and identify a novel DELLA-like transcriptional regulator,ZmGRAS11,which positively regulates kernel size and kernel weight in maize.We find that Opaque2,a core transcription factor for zein protein and starch accumulation,transactivates the expression of Zm GRAS11.Our data suggest that the Opaque2-Zm GRAS11 module mediates synergistic endosperm enlargement with grain filling.展开更多
In the textile industry,it is always the case that cotton products are constitutive of many types of foreign fibers which affect the overall quality of cotton products.As the foundation of the foreign fiber automated ...In the textile industry,it is always the case that cotton products are constitutive of many types of foreign fibers which affect the overall quality of cotton products.As the foundation of the foreign fiber automated inspection,image process exerts a critical impact on the process of foreign fiber identification.This paper presents a new approach for the fast processing of foreign fiber images.This approach includes five main steps,image block,image predecision,image background extraction,image enhancement and segmentation,and image connection.At first,the captured color images were transformed into gray-scale images;followed by the inversion of gray-scale of the transformed images;then the whole image was divided into several blocks.Thereafter,the subsequent step is to judge which image block contains the target foreign fiber image through image pre-decision.Then we segment the image block via OSTU which possibly contains target images after background eradication and image strengthening.Finally,we connect those relevant segmented image blocks to get an intact and clear foreign fiber target image.The experimental result shows that this method of segmentation has the advantage of accuracy and speed over the other segmentation methods.On the other hand,this method also connects the target image that produce fractures therefore getting an intact and clear foreign fiber target image.展开更多
Greenness identification from crop images captured outdoors is the important step for crop growth monitoring.The commonly used methods for greenness identification are based on visible spectral-index,such as the exces...Greenness identification from crop images captured outdoors is the important step for crop growth monitoring.The commonly used methods for greenness identification are based on visible spectral-index,such as the excess green index,the excess green minus excess red index,the vegetative index,the color index of vegetation extraction,the combined index.All these visible spectral-index based methods are working on the assumption that plants display a clear high degree of greenness,and soil is the only background element.In fact,the brightness and contrast of an image coming from outdoor environments are seriously affected by the weather conditions and the capture time.The color of the plant varies from dark green to bright green.The back ground elements may contain crop straw,straw ash besides soil.These environmental factors always make the visible spectral-index based methods unable to work correctly.In this paper,an HSV decision tree based method for greenness identification from maize seedling images captured outdoors is proposed.Firstly,the image was converted from RGB color space to HSV color space to avoid influence of illumination.Secondly,most of the background pixels were removed according to their hue values compared with the ones of green plants.Thirdly,the pixels of wheat straws whose hue values were intersected with tender green leaves were eliminated subject to their hues,saturations and values.At last,thresholding was employed to get the green plants.The results indicate that the proposed method can recognize greenness pixels correctly from the crop images captured outdoors.展开更多
Since of the scale and the various shapes of down in the image,it is difficult for traditional image recognition method to correctly recognize the type of down image and get the required recognition accuracy,even for ...Since of the scale and the various shapes of down in the image,it is difficult for traditional image recognition method to correctly recognize the type of down image and get the required recognition accuracy,even for the Traditional Convolutional Neural Network(TCNN).To deal with the above problems,a Deep Convolutional Neural Network(DCNN)for down image classification is constructed,and a new weight initialization method is proposed.Firstly,the salient regions of a down image were cut from the image using the visual saliency model.Then,these salient regions of the image were used to train a sparse autoencoder and get a collection of convolutional filters,which accord with the statistical characteristics of dataset.At last,a DCNN with Inception module and its variants was constructed.To improve the recognition accuracy,the depth of the network is deepened.The experiment results indicate that the constructed DCNN increases the recognition accuracy by 2.7% compared to TCNN,when recognizing the down in the images.The convergence rate of the proposed DCNN with the new weight initialization method is improved by 25.5% compared to TCNN.展开更多
基金supported by the National Key Research and Development Program of China(2022YFD1301105)the earmarked fund for CARS(CARS-36)+2 种基金the Natural Science Foundation of Heilongjiang Province(YQ2021C018)the Postdoctoral Foundation of Heilongjiang Province(LBH-Z21100)the Open Project Program of International Joint Research Laboratory in Universities of Jiangsu Province of China for Domestic Animal Germplasm Resources and Genetic Improvement(IJRLD-KF202204).
文摘Background Clostridium butyricum(CB)is a probiotic that can regulate intestinal microbial composition and improve meat quality.Rumen protected fat(RPF)has been shown to increase the dietary energy density and provide essential fatty acids.However,it is still unknown whether dietary supplementation with CB and RPF exerts beneficial effects on growth performance and nutritional value of goat meat.This study aimed to investigate the effects of dietary CB and RPF supplementation on growth performance,meat quality,oxidative stability,and meat nutritional value of finishing goats.Thirty-two goats(initial body weight,20.5±0.82 kg)were used in a completely randomized block design with a 2 RPF supplementation(0 vs.30 g/d)×2 CB supplementation(0 vs.1.0 g/d)factorial treatment arrangement.The experiment included a 14-d adaptation and 70-d data and sample collection period.The goats were fed a diet consisted of 400 g/kg peanut seedling and 600 g/kg corn-based concentrate(dry matter basis).Result Interaction between CB and RPF was rarely observed on the variables measured,except that shear force was reduced(P<0.05)by adding CB or RPF alone or their combination;the increased intramuscular fat(IMF)content with adding RPF was more pronounced(P<0.05)with CB than without CB addition.The pH24h(P=0.009),a*values(P=0.007),total antioxidant capacity(P=0.050),glutathione peroxidase activities(P=0.006),concentrations of 18:3(P<0.001),20:5(P=0.003)and total polyunsaturated fatty acids(P=0.048)were increased,whereas the L*values(P<0.001),shear force(P=0.050)and malondialdehyde content(P=0.044)were decreased by adding CB.Furthermore,CB supplementation increased essential amino acid(P=0.027),flavor amino acid(P=0.010)and total amino acid contents(P=0.024)as well as upregulated the expression of lipoprotein lipase(P=0.034)and peroxisome proliferator-activated receptorγ(PPARγ)(P=0.012),and downregulated the expression of stearoyl-CoA desaturase(SCD)(P=0.034).The RPF supplementation increased dry matter intake(P=0.005),averaged daily gain(trend,P=0.058),hot carcass weight(P=0.046),backfat thickness(P=0.006),concentrations of 16:0(P<0.001)and c9-18:1(P=0.002),and decreased the shear force(P<0.001),isoleucine(P=0.049)and lysine content(P=0.003)of meat.In addition,the expressions of acetyl-CoA carboxylase(P=0.003),fatty acid synthase(P=0.038),SCD(P<0.001)and PPARγ(P=0.022)were upregulated due to RPF supplementation,resulting in higher(P<0.001)content of IMF.Conclusions CB and RPF could be fed to goats for improving the growth performance,carcass traits and meat quality,and promote fat deposition by upregulating the expression of lipogenic genes of Longissimus thoracis muscle.
基金funded by the National Natural Science Foundation of China(41165010)the State Key Basic Research and Development Plan of China(2007CB106806)the State Key Laboratory Fund of Institute of Atmospheric Physics,Chinese Academy of Sciences(LAPC-KF-2008-03)
文摘Land use change significantly influences soil properties.There is little information available on the long-term effects of post-reclamation from grassland to cropland on soil properties.We compared soil carbon(C) and nitrogen(N) storage and related soil properties in a 50-year cultivation chronosequence of grassland in the agro-pastoral ecotone of Inner Mongolia.Field surveys on land use changes during the period of 1955-2002 were conducted to build a chronosequence of cropland of different ages since the conversion from grassland.The results showed that soil C and N storage,soil texture,and soil nutrient contents varied with land use types and cropland ages(P<0.01).In the 0-30 cm soil layer,the soil organic carbon(SOC) density was significantly lower in the croplands(3.28 kg C/m2 for C50 soil) than in the grasslands(6.32 kg C/m2).After 5,10,15,20,35,and 50 years of crop planting(years since the onset of cultivation),the SOC losses were 17%,12%,19%,47%,46%,and 48%,respectively,compared with the grasslands.The soil total nitrogen(TN) density of the grasslands was 65 g N/m2,and TN density of the cropland soil was 35 g N/m2 after 50 years of crop planting.Both the SOC and TN densities could be quantitatively determined by a negative exponential function of cropland age(P<0.0001,R2=0.8528;P<0.0001,R2=0.9637).The dissolved organic carbon(DOC) content,soil available potassium(AK) content,clay content,and pH value were decreased;and the soil bulk density and sand content were increased since the conversion of grassland into cropland during the 50-year period.Our results show soil nutrients were higher in grassland than in cropland.The conversion of grasslands to croplands induced a loss of soil C storage and changes of related soil properties.The reclamation time of cultivated soil(cropland age) had significant effects on soil properties in the study area.
基金funded by AAFC Growing forward program(GF2#1542).
文摘Background:This study was conducted to evaluate the feed nutritional value of brewers’spent grain(BSG)residue resulting from protease aided protein removal.The nutritional value was measured as nutrient content,gas production,nutrient digestibility and fermentation characteristics in batch culture.Results:Protein extraction process decreased content of crude protein but concentrated the neutral detergent fibre(NDF)and ferulic acid in BSG residue.The changes in the chemical composition of BSG residue varied with enzyme and enzyme dosage.Digestibility of dry matter(DMD)and NDF of residue differed among proteases.Increasing alcalase dosage linearly decreased DMD,whereas,the DMD linearly increased as everlase or flavourzyme dosage increased.Compared with BSG,the DMD,gas production and fermentation acid concentration of BSG residues were lower,whereas NDF digestibility was higher.Conclusions:The substantially increased NDF content and improved in vitro NDF digestibility due to protease hydrolysis suggest that BSG residue can be potentially exploited as a viable fibre source for ruminant feeding.
基金financially supported by the Agriculture and Agri-Food Canada(AAFC) Growing forward program (GF2#1542)。
文摘Background: Brewers' spent grain(BSG) typically contains 20% – 29% crude protein(CP) with high concentrations of glutamine, proline and hydrophobic and non-polar amino acid, making it an ideal material for producing valueadded products like bioactive peptides which have antioxidant properties. For this study, protein was extracted from BSG, hydrolyzed with 1% alcalase and flavourzyme, with the generated protein hydrolysates(AlcH and FlaH)showing antioxidant activities. This study evaluated the effects of AlcH and FlaH on gas production, ruminal fermentation characteristics, nutrient disappearance, microbial protein synthesis and microbial community using an artificial rumen system(RUSITEC) fed a high-grain diet.Results: As compared to the control of grain only, supplementation of FlaH decreased(P < 0.01) disappearances of dry matter(DM), organic matter(OM), CP and starch, without affecting fibre disappearances;while AlcH had no effect on nutrient disappearance. Neither AlcH nor FlaH affected gas production or VFA profiles, however they increased(P < 0.01) NH_3-N and decreased(P < 0.01) H_2 production. Supplementation of FlaH decreased(P < 0.01)the percentage of CH_4 in total gas and dissolved-CH_4(dCH_4) in dissolved gas. Addition of monensin reduced(P < 0.01) disappearance of nutrients, improved fermentation efficiency and reduced CH_4 and H_2 emissions.Total microbial nitrogen production was decreased(P < 0.05) but the proportion of feed particle associated(FPA) bacteria was increased with FlaH and monensin supplementation. Numbers of OTUs and Shannon diversity indices of FPA microbial community were unaffected by AlcH and FlaH;whereas both indices were reduced(P < 0.05) by monensin. Taxonomic analysis revealed no effect of AlcH and FlaH on the relative abundance(RA) of bacteria at phylum level, whereas monensin reduced(P < 0.05) the RA of Firmicutes and Bacteroidetes and enhanced Proteobacteria. Supplementation of FlaH enhanced(P < 0.05) the RA of genus Prevotella, reduced Selenomonas, Shuttleworthia, Bifidobacterium and Dialister as compared to control;monensin reduced(P < 0.05) RA of genus Prevotella but enhaced Succinivibrio.Conclusions: The supplementation of FlaH in high-grain diets may potentially protect CP and starch from ruminal degradation, without adversely affecting fibre degradation and VFA profiles. It also showed promising effects on reducing CH_4 production by suppressing H_2 production. Protein enzymatic hydrolysates from BSG using flavourzyme showed potential application to high value-added bio-products.
基金financially supported by the Alberta Agriculture and Forestry(#2015E006R)King Techina Feed Co.,Ltd.(Hangzhou, China)。
文摘Background:The objectives of this study were to determine the effect of commercial slow-release urea(SRU)on in vitro fermentation characteristics,nutrient digestibility,gas production,microbial protein synthesis and bacterial community using a rumen simulation technique(RUSITEC).The experiment was a completely randomized design with four treatments and four replications of each treatment.Treatments were:control diet(no SRU addition),control diet plus 0.28%SRU(U28),or plus 0.56%SRU(U56),and control diet that was modified substituting a part of soybean meal equivalent to 0.35%SRU(MU35;dry matter[DM]basis).The experiment consisted of 8 d of adaptation and 7 d of data and sample collection.Rumen inoculum was obtained from three ruminally fistulated Angus cows fed the same diet to the substrate incubated.Results:Digestibility of DM,organic matter(OM),crude protein(CP),fibre and starch was not affected,but daily production of gas(P<0.07)and methane(P<0.05)was quadratically increased with increasing SRU supplementation.The increase of SRU addition did not affect fermentation pH and total volatile fatty acid(VFA)production,whereas linearly(P<0.01)decreased proportion of propionate,and linearly(P<0.01)increased acetate to propionate ratio and ammonia nitrogen(N)concentration.The microbial N efficiency was also linearly(P<0.03)improved with increasing supplementation of SRU.In comparison with control diet,the dietary substitution of SRU for part of soybean meal increased(P<0.05)the digestibility of DM,OM and CP and decreased(P<0.02)the total gas production.The total VFA production and acetate to propionate ratio did not differ between control and MU35,whereas the proportion of butyrate was lower(P<0.05)and that of branched-chain VFA was greater(P<0.05)with MU35 than control diet.Total and liquid-associated microbial N production as well as ammonia N concentration were greater(P<0.03)with MU35 than control diet.Observed operational taxonomic units(OTUs),Shannon diversity index,and beta diversity of the microbial community did not differ among treatments.Taxonomic analysis revealed no effect of adding SRU on the relative abundance of bacteria at the phylum level,while at the genus level,the beneficial impact of SRU on relative abundance of Rikenellaceae and Prevotellaceae in feed particleassociated bacteria,and the abundance of Roseburia in liquid associate bacteria was greater(P<0.05)with MU35.Conclusions:Supplementation of a dairy cow diet with SRU showed potential of increase in ammonia N concentration and microbial protein production,and change fermentation pattern to more acetate production.Adding SRU in dairy cow diet also showed beneficial effect on improving digestibility of OM and fibre.The results suggest that SRU can partially substitute soybean meal in dairy cow diet to increase microbial protein production without impairing rumen fermentation.
文摘In machine-vision-based systems for detecting foreign fibers, due to the background of the cotton layer has the absolute advantage in the whole image, while the foreign fiber only account for a very small part, and what’s more, the brightness and contrast of the image are all poor. Using the traditional image segmentation method, the segmentation results are very poor. By adopting the maximum entropy and genetic algorithm, the maximum entropy function was used as the fitness function of genetic algorithm. Through continuous optimization, the optimal segmentation threshold is determined. Experimental results prove that the image segmentation of this paper not only fast and accurate, but also has strong adaptability.
文摘In order to remove the stripe noises in cotton foreign fiber images by line scanning camera collected, in multi threshold segmentation of rough set, every region’s color is instead of the statistics color of the region. This method can retain the detail information of original image as far as possible, and do well in the stripe noise removal. The roughness of rough set was calculated respectively using directional diagram, Canny operator and Sobel operator. Comparing the three methods, the results indicate that the Canny operator keeps the more details of image, and directional diagram and Sobel operator have the better effects on denoising.
基金supported by the National Natural Science Foundation of China(32171453)the National Key R&D Program of China(2023ZD0403005)the Central Public-interest Scientific Institution Basal Research Fund(1610392020001).
文摘"Who will feed China?"This was a question raised by Lester Brown,the director of the World Watch Institute in the United States,in 1994.He predicted that China's grain production would decrease from 340 million tons in 1990 to 272 million tons by 2030,a 20%decrease,while China's population would reach 1.6 billion(Brown,1995).If the dietary structure was not improved,China would need to import 200-369 million tons of grain,equivalent to the global grain trade at the time.He projected the high possibility of a food crisis in China,which might further trigger a global food crisis.However,with the joint efforts of national agricultural researchers,represented by Yuan Longping,and the Chinese government,China's grain production has achieved 18 consecutive increases from 2004 to 2021.In 2022,grain production in China reached 633 million tons(NBS and Statistics,2022),while the population remained stable at 1.4 billion.As a result,China has achieved complete self-sufficiency in its staple food supply and has demonstrated to the international community through practical actions that the Chinese people can feed themselves.
基金supported by the National Natural Science Foundation of China to X.J.Z.(grant number 31771707)National Special Program for GMO Development of China to R.M.C.(2016ZX08003-002)the National Key Basic Research Program of China(2014CB138205)。
文摘Although the genetic basis for endosperm development in maize(Zea mays)has been well studied,the mechanism for coordinating grain filling with increasing kernel size remains elusive.Here,we report that increased kernel size was selected during modern breeding and identify a novel DELLA-like transcriptional regulator,ZmGRAS11,which positively regulates kernel size and kernel weight in maize.We find that Opaque2,a core transcription factor for zein protein and starch accumulation,transactivates the expression of Zm GRAS11.Our data suggest that the Opaque2-Zm GRAS11 module mediates synergistic endosperm enlargement with grain filling.
基金The authors thank National Natural Science Foundation of China(30971693,61170039)Ministry of Education of People’s Republic of China(NCET-09-0731)+2 种基金Hebei Education Department(Q2012063)Hebei University(2010-207)Key Laboratory of Modern Precision Agriculture System Integration Research,Ministry of Education(X11-01),for their financial support.
文摘In the textile industry,it is always the case that cotton products are constitutive of many types of foreign fibers which affect the overall quality of cotton products.As the foundation of the foreign fiber automated inspection,image process exerts a critical impact on the process of foreign fiber identification.This paper presents a new approach for the fast processing of foreign fiber images.This approach includes five main steps,image block,image predecision,image background extraction,image enhancement and segmentation,and image connection.At first,the captured color images were transformed into gray-scale images;followed by the inversion of gray-scale of the transformed images;then the whole image was divided into several blocks.Thereafter,the subsequent step is to judge which image block contains the target foreign fiber image through image pre-decision.Then we segment the image block via OSTU which possibly contains target images after background eradication and image strengthening.Finally,we connect those relevant segmented image blocks to get an intact and clear foreign fiber target image.The experimental result shows that this method of segmentation has the advantage of accuracy and speed over the other segmentation methods.On the other hand,this method also connects the target image that produce fractures therefore getting an intact and clear foreign fiber target image.
基金The authors thank The Ministry of Science and Technology of the People’s Republic of China(2013DFA11320)Hebei Natural Science Foundation(F2015201033),for financial support.
文摘Greenness identification from crop images captured outdoors is the important step for crop growth monitoring.The commonly used methods for greenness identification are based on visible spectral-index,such as the excess green index,the excess green minus excess red index,the vegetative index,the color index of vegetation extraction,the combined index.All these visible spectral-index based methods are working on the assumption that plants display a clear high degree of greenness,and soil is the only background element.In fact,the brightness and contrast of an image coming from outdoor environments are seriously affected by the weather conditions and the capture time.The color of the plant varies from dark green to bright green.The back ground elements may contain crop straw,straw ash besides soil.These environmental factors always make the visible spectral-index based methods unable to work correctly.In this paper,an HSV decision tree based method for greenness identification from maize seedling images captured outdoors is proposed.Firstly,the image was converted from RGB color space to HSV color space to avoid influence of illumination.Secondly,most of the background pixels were removed according to their hue values compared with the ones of green plants.Thirdly,the pixels of wheat straws whose hue values were intersected with tender green leaves were eliminated subject to their hues,saturations and values.At last,thresholding was employed to get the green plants.The results indicate that the proposed method can recognize greenness pixels correctly from the crop images captured outdoors.
基金supported by the Natural Science Foundation of Hebei Provence[grant numbers:F2015201033,F2017201069]the foundation of H3C[grant number:2017A20004]。
文摘Since of the scale and the various shapes of down in the image,it is difficult for traditional image recognition method to correctly recognize the type of down image and get the required recognition accuracy,even for the Traditional Convolutional Neural Network(TCNN).To deal with the above problems,a Deep Convolutional Neural Network(DCNN)for down image classification is constructed,and a new weight initialization method is proposed.Firstly,the salient regions of a down image were cut from the image using the visual saliency model.Then,these salient regions of the image were used to train a sparse autoencoder and get a collection of convolutional filters,which accord with the statistical characteristics of dataset.At last,a DCNN with Inception module and its variants was constructed.To improve the recognition accuracy,the depth of the network is deepened.The experiment results indicate that the constructed DCNN increases the recognition accuracy by 2.7% compared to TCNN,when recognizing the down in the images.The convergence rate of the proposed DCNN with the new weight initialization method is improved by 25.5% compared to TCNN.
