摘要
为筛选花生秸秆饲用性评价指标和饲用价值高的种质,以40份生物量较大的品种(系)为材料,利用NIRS方法分别检测收获后花生茎秆、叶片和种子部位的蛋白质、钙、磷、中性洗涤纤维、酸性洗涤纤维、干物质、酸性洗涤木质素和体外干物质消化率等指标。结果表明,叶片中的蛋白质含量较茎秆高5%以上,营养价值较高;茎秆、叶片、种子部位对钙和磷的吸收均具有协同特征;茎秆、叶片中的钙、磷含量分别与蛋白质含量呈显著或极显著负相关,种子中的钙、磷含量均与蛋白质含量极显著正相关。秸秆饲用性评价分析表明,利用主成分分析共提取到5个主成分,代表茎秆、叶片检测指标91.12%的信息,可用于花生品种(系)秸秆饲用性的综合评价;根据各品种(系)的综合得分D值筛选出10份饲用价值较高的品种(系);构建了花生秸秆饲用性评价的回归方程,D=0.014X_(1)+0.012X_(2)-0.003X_(5)+0.009X_(7)-0.023X_(8)+0.009X_(10)+0.011X_(16)-1.582(R2=0.994,F=764.329,P<0.01),该方程的估计精度达88.0%以上,方程中茎秆的蛋白质、灰分、中性洗涤纤维、植物干物质、酸性洗涤木质素、叶片的蛋白质和干物质共7个指标可作为花生秸秆饲用性综合评价指标。
The present study was carried out to screen comprehensive feeding evaluation indexes of peanut straw and to identify peanut germplasm resources with highly feeding value.Forty peanut varieties and breeding lines were used for detecting protein,ash,calcium,phosphorus,neutral detergent fiber(NDF),acid detergent fiber(ADF),acid detergent lignin(ADL)and in vitro dry matter digestion(IVDMD)of stalks and leaves by employing near infrared reflectance spectroscopy technology respectively,as well as calcium,phosphorus and protein of seeds.By comparing content of nutrients between peanut leaves and stalks,peanut leaves contained 5%higher content of protein,approximately equal content of ash,calcium and phosphorus,and lower content of NDF,ADF,ADL,reflect⁃ing that peanut leaves have higher feeding value than peanut stalks.There were significant and positive correlation between content of calcium and phosphorus in peanut stalks,leaves and seeds respectively,indicating that absolute synergistic absorption existed.Furthermore,both content of calcium and phosphorus were significantly negative with content of protein in stalks and leaves respcetively,while the both content of calcium and phosphorus were sig⁃nificantly positive with content of protein in peanut seeds.Five comprehensive indexs with 91.12%accumulative contribution of 18 indexes of peanut stalks and leaves were extracted by PCA analysis.Based on comprehensive score(namely D)of each peanut variety,40 peanut varieties and lines were divided into 3 groups by cluster analysis,the first group contained 10 peanut varieties with high comprehensive feeding scores(CFS),the second group contained 17 peanut varieties with medium CFS,and the third group contained 13 peanut varieties with low CFS.The optimal mathematical model of peanut feeding evaluation was established on account of D scores and 18 index⁃es of peanut stalks and leaves,namely D=0.014X_(1)+0.012X_(2)-0.003X_(5)+0.009X_(7)-0.Gather Strength to Make Progress Together and Promote New Development of Environmental Protection Industry and the Work of CAEPI:A speech at the 6th Membership Representative Conference of the China Association of Environmental Protection Industry.009X_(10)+0.011X_(16)-1.582(R2=0.994,F=764.329,P=0.000),which showed high estimation accuracy above 88%.Hence,7 indexes were screened out,which consisted of five indexes of stalks(protein,ash,NDF,DM and ADL)and 2 indexes of leaves(protein and DM).
作者
吕建伟
姜敏
田永国
胡廷会
成良强
饶庆琳
王金花
王军
LYU Jian-wei;JIANG Min;TIAN Yong-guo;HU Ting-hui;CHENG Liang-qiang;RAO Qing-lin;WANG Jin-hua;WANG Jun(Guizhou Oil Research Institute,Guizhou Academy of Agricultural Sciences,Guiyang 550006,China;Agricultural Extension Centre of Yanhe,Yanhe 565300,China)
出处
《中国油料作物学报》
CAS
CSCD
北大核心
2021年第6期1031-1041,共11页
Chinese Journal of Oil Crop Sciences
基金
国家现代农业产业技术体系(CARS-13)
贵州特色植物种质资源利用与创新人才基地项目(RCJD2018-14)
贵州省农业科学院专项资金(黔农科院院专项[2015]06号)
黔农科院青年基金([2018]11)
贵州省基础研究计划(黔科合基础-ZK[2021]一般134)。
关键词
花生
秸秆
种子
多元统计分析
饲用性评价
养分
peanut
straw
seeds
multivariate statistical methods
comprehensive feeding evaluation
nutrient
