TIAN Yixin,ZHU Jinying,HUA Fangjing,et al.Comprehensive Evaluation of Production Performance of Different High Protein Soybean Varieties in Northwest of Shandong〖JZ）〗〖WT〗〖KH-*2D〗[J].HEILONGJIANG AGRICULTURAL SCIENCES,2024,(04):37-42.[doi:10.11942/j.issn1002-2767.2024.04.0037]
鲁西北不同高蛋白大豆品种的生产性能综合评价
- Title:
- Comprehensive Evaluation of Production Performance of Different High Protein Soybean Varieties in Northwest of Shandong〖JZ）〗〖WT〗〖KH-*2D〗
- 文章编号:
- 6
- Keywords:
- high protein soybean; production performance; membership function analysis; principal component analysis; comprehensive evaluation
- 文献标志码:
- A
- 摘要:
- 为筛选出适宜鲁西北地区推广种植的优质高蛋白大豆，采用模糊隶属函数及主成分分析对参试10个高蛋白大豆品种的生产性能进行综合评价。结果表明，参试大豆品种分枝数、百粒重、底荚高度、产量和株高变异系数较大，主茎节数、单株荚数和单株粒数变异系数较小，且分枝数与株高、主茎节数均呈显著负相关，与单株荚数呈显著正相关，单株荚数和单株粒数之间，百粒重和产量之间均呈显著正相关。因此，在本地区选育高产品种时，应适当选择分枝数多、单株荚数多、单株粒数多和百粒重大的品种。通过隶属函数和主成分分析，冀豆12、齐黄34和菏豆37综合得分较高，产量也高，在鲁西北地区适应性强，可作为该区推广种植的优选高蛋白品种。
- Abstract:
- In order to select high-quality and high-protein soybean suitable for planting in northwest of Shandong, fuzzy membership function and principal component analysis were used to evaluate the production performance of 10 high-protein soybean varieties. The results showed that the coefficient of variation of branch number, 100-seed weight, bottom pod height, yield and plant height were larger, but the coefficient of variation of main stem node number, pod number per plant and seed number per plant were smaller. The number of branches was negatively correlated with plant height and node number of main stem, and positively correlated with the pods number of per plant. There were significant positive correlations between pod number and grain number of per plant, as well as between 100-grain weight and yield. Therefore, varieties with more branches, pods and grains per plant, 100-grain weight should be appropriately selected when breeding high-yield varieties in this region. According to the membership function and principal component analysis, Jidou 12, Qihuang 34 and Hedou 37 have high comprehensive scores and high yield, which has strong adaptability and can be used as the preferred high-protein variety for planting in northwest of Shandong.
参考文献/References:
［1］赵博,赵元寿,苏小红.大豆蛋白的研究进展[J].甘肃科技纵横,2021,50(12):19-21,24.[2]曹扬慧.豆粕市场供需矛盾对下半年市场的影响[J].广东饲料,2021,30(6):20-23.[3]王彩洁,李伟,张礼凤,等.黄淮海地区近20年来育成大豆品种亲本分析[J].大豆科学,2018,37(4):503-510.[4]赵志刚,罗瑞萍.宁夏春大豆品种演变及栽培技术进步对大豆产量的贡献分析[J].宁夏农林科技,2019,60(5):4-7.[5]刘文林,张宏纪,孙岩,等.栽培密度对麦茬复种大豆产量及品质的影响[J].黑龙江农业科学,2021(12):11-14.[6]李敏,苏慧,李阳阳,等.黄淮海麦区小麦耐热性分析及其鉴定指标的筛选[J].中国农业科学,2021,54(16):3381-3393.[7]翟新秘,秦利军,项阳,等.隶属函数分析法对25份贵州玉米种质抗旱性评价研究[J].种子,2018,37(9):51-55.[8]邓艳凤,肖水平,王涛,等.利用主成分和隶属函数法评价40份早熟棉F2材料[J].棉花科学,2022,44(1):24-29.[9]张婷,郭勤卫,刘慧琴,等.基于隶属函数法的辣椒苗期耐冷性综合评价[J].江西农业学报,2020,32(4):49-55.[10]刘淑霞,郭永霞,魏国江,等.利用隶属函数模型评价黑龙江省大庆地区引进的20个紫花苜蓿品种[J].江苏农业科学,2020,48(10):202-207.[11]常世豪,杨青春,舒文涛,等.黄淮海夏大豆品种(系)主要农艺性状的综合性分析[J].作物杂志,2020(3):66-72.[12]汪宝卿,张礼凤,戴海英,等.黄淮海地区夏大豆农艺性状的遗传变异、相关及主成分分析[J].大豆科学,2012,31(2):208-212.[13]王桂梅,邢宝龙.大豆农艺性状相关性及主成分分析[J].安徽农学通报,2021,27(24):46-48,87.[14]贺礼英,尹成杰,黄守程,等.菜用大豆主要农艺性状的相关性、聚类及主成分分析[J].浙江农业学报,2018,30(1):50-57.[15]周福平,史红梅,张海燕,等.应用模糊隶属函数法对高粱种质资源的农艺性状和品质性状进行综合评价[J].种子,2022,41(1):94-98.[16]徐建霞,丁延庆,曹宁,等.粒用高粱种质资源耐冷性分析[J].种子,2021,40(11):40-45,60.[17]谢婉,杨喜珍,杨利,等.利用隶属函数法评价马铃薯组培苗的抗旱性[J].中国马铃薯,2019,33(2):65-76.[18]罗海玲,龚明霞,周芸伊,等.利用隶属函数法对山药种质资源品质和产量进行综合评价[J].西南农业学报,2018,31(5):911-916.[19]王佼,苏秀敏,韩文清,等.基于隶属函数法对15种旱地番茄品质的综合评价[J].浙江农业科学,2020,61(12):2586-2589.[20]黄晨晨,宋晓,黄绍敏,等.基于主成分分析和聚类分析的磷高效品种筛选和评价[J].中国土壤与肥料,2021(6):292-299.[21]尹欣幸,杨伟波,金龙飞,等.基于主成分分析的鲜食花生品质评价[J].热带作物学报,2021,42(10):3001-3007.[22]冯海萍,刘晓梅,白生虎,等.不同娃娃菜品种在宁南山区的适应性评价[J].种子,2021,40(10):121-125.
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备注/Memo
收稿日期：2024-01-26