基于灰色关联度分析的河南省麦套花生研究
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摘要
旨在了解河南省麦套花生育种现状和筛选适宜推广的花生品种。利用灰色系统理论对27个参试花生品种的11个主要性状:主茎高、侧枝长、总分枝、结果枝、单株结果数、百果重、百仁重、出仁率、饱果率、单株生产力、荚果产量进行关联度分析。结果表明:灰色关联度分析能准确判断参试品种优劣,筛选出适宜推广的参试品种;加权关联度值更为真实反映品种的综合表现,19个参试品种的加权关联度值比对照‘豫花15号’大,占参试品种的70%以上,其中‘商花17号’加权关联度值和产量排名第一,表现最好。河南省麦套花生整体育种水平较高,‘商花17号’、‘洛花3016’、‘濮花43号’、‘远杂14号’综合性状和产量表现优良,最适宜在河南省推广种植。
The aim is to understand current status of peanut intercropped with wheat and screen peanut varieties suitable for promotion in Henan Province. The 11 agronomic traits of 27 peanut varieties, including main stem height, lateral branch length, number of total and pod branch, pod numbers per plant, 100-pod weight, 100-seed weight, kernel rate, full pod rate, productivity per plant and pod yield, were analyzed using the grey correlation analysis. The results showed that the grey correlation analysis could accurately appraise the quality of tested varieties and select peanut varieties that were suitable for promotion. The weighted correlation degree values truly reflected the integrated performance of the tested varieties. The weighted correlation degree of 19 tested varieties was larger than that of‘yuhua15'(CK), accounting for more than 70%of the tested varieties. The weighted correlation degree value and pod yield of‘Shanghua17'ranked No. 1, and the performance was the best. The overall level of intercropped peanut is relatively high in Henan. The integrated traits and yield of‘Shanghua17',‘Luohua3016',‘Puhua43'and‘Yuanza14'are excellent, which are more suitable for planting in Henan Province.
The aim is to understand current status of peanut intercropped with wheat and screen peanut varieties suitable for promotion in Henan Province. The 11 agronomic traits of 27 peanut varieties, including main stem height, lateral branch length, number of total and pod branch, pod numbers per plant, 100-pod weight, 100-seed weight, kernel rate, full pod rate, productivity per plant and pod yield, were analyzed using the grey correlation analysis. The results showed that the grey correlation analysis could accurately appraise the quality of tested varieties and select peanut varieties that were suitable for promotion. The weighted correlation degree values truly reflected the integrated performance of the tested varieties. The weighted correlation degree of 19 tested varieties was larger than that of‘yuhua15'(CK), accounting for more than 70%of the tested varieties. The weighted correlation degree value and pod yield of‘Shanghua17'ranked No. 1, and the performance was the best. The overall level of intercropped peanut is relatively high in Henan. The integrated traits and yield of‘Shanghua17',‘Luohua3016',‘Puhua43'and‘Yuanza14'are excellent, which are more suitable for planting in Henan Province.
引文
[1]万书波.花生产业经济学[M].北京:中国农业出版社,2010.
[2]万书波,单世华,郭峰.提高花生产能确保油料供给安全[J].中国农业科技导报,2010,12(3):22-26.
[3]董文召,汤丰收,张新友.河南省花生产业现状与发展建议[J].河南农业科学,2007(10):8-10.
[4]李新国,郭峰,万书波.高产花生理想株型的研究[J].花生学报,2013,42(3):23-26.
[5]邓聚龙.农业系统灰色理论与方法[M].济南:山东科学技术出版社,1988.
[6]张建成,张弘旭,张汇娟,等.春小麦主要产量构成因素间的灰色关联度分析[J].内蒙古农业科技,2008(3):25-26.
[7]邵秋红,张树明,何力剑.灰色关联度分析在冬小麦品种评价中的应用[J].种子,2008,27(8):93-94.
[8]王士强,胡银岗,佘奎军,等.小麦抗旱相关农艺性状和生理生化性状的灰色关联度分析[J].中国农业科学,2007,40(11):2452-2459.
[9]孙峰成,冯勇,于卓,等.12个玉米群体的主要农艺性状与产量、品质的灰色关联度分析[J].华北农学报,2012,27(1):102-105.
[10]李文仓,李绍伟,赵国建,等.应用模糊数学和灰色系统理论对河南省玉米区试品种分析评价[J].中国种业,2007(6):42-45.
[11]杨引福,李立坤,郭强,等.灰色综合评判在玉米新品种评价中的应用[J].农业科技通讯,2008(4):84-89.
[12]田海燕,战勇,张恒斌,等.8个新疆大豆主栽品种产量与主要产量性状关联度的研究[J].新疆农业科学,2011,48(11):2031-2034.
[13]王鹏,李贵全.不同大豆品系农艺与品质性状的灰色关联度分析[J].山西农业科学,2012,40(12):1243-1246.
[14]吴雨珊,龚万灼,谭千军,等.套作大豆高产优质育种的灰色关联分析[J].大豆科学,2015,34(4):565-570.
[15]闫向前,何鑫,张琪,等.适宜免耕覆秸精量播种栽培方式的夏大豆品种(系)筛选[J].大豆科学,2017,36(6):879-885.
[16]孙健敏,高小丽,高金锋,等.灰色关联度分析法在夏绿豆区域试验品种评价中的应用[J].西北农业学报,2010,19(3):123-126.
[17]侯小峰,刘静,王彩萍,等.绿豆产量与主要农艺性状的灰色关联分析[J].作物杂志,2015(1):53-56.
[18]职明星,甄志高,范春燕,等.灰色关联度评判在花生育种中的应用[J].中国农学通报,2007,23(7):241-244.
[19]李鹏发,苗昊翠,李利民,等.基于灰色关联度分析评价新疆17个引种花生品种[J].中国农学通报,2016,32(21):79-84.
[20]苗昊翠,李利民,张金波,等.基于灰色关联度分析评价新疆引种花生花育系列品种[J].新疆农业科学,2013,50(l):22-26.
[21]牛海龙,刘红欣,李伟堂,等.灰色关联度分析法在花生品种综合评价上的应用[J].东北农业科学,2017,42(5):20-24.
[22]李绍伟,李军华,任丽,等.花生产量与主要农艺性状的灰色关联度分析[J].陕西农业科学,2007(1):37-38.
[23]蓝新隆,唐兆秀,徐日荣.花生产量与主要农艺性状之间的灰色关联度分析[J].江西农业学报,2011,23(8):61-63.
[24]彭慧,赵冰,李树和,等.采用灰色关联分析法综合评价国内主栽山药品种[J].北京农学院学报,2006,10(4):8-10.
[2]万书波,单世华,郭峰.提高花生产能确保油料供给安全[J].中国农业科技导报,2010,12(3):22-26.
[3]董文召,汤丰收,张新友.河南省花生产业现状与发展建议[J].河南农业科学,2007(10):8-10.
[4]李新国,郭峰,万书波.高产花生理想株型的研究[J].花生学报,2013,42(3):23-26.
[5]邓聚龙.农业系统灰色理论与方法[M].济南:山东科学技术出版社,1988.
[6]张建成,张弘旭,张汇娟,等.春小麦主要产量构成因素间的灰色关联度分析[J].内蒙古农业科技,2008(3):25-26.
[7]邵秋红,张树明,何力剑.灰色关联度分析在冬小麦品种评价中的应用[J].种子,2008,27(8):93-94.
[8]王士强,胡银岗,佘奎军,等.小麦抗旱相关农艺性状和生理生化性状的灰色关联度分析[J].中国农业科学,2007,40(11):2452-2459.
[9]孙峰成,冯勇,于卓,等.12个玉米群体的主要农艺性状与产量、品质的灰色关联度分析[J].华北农学报,2012,27(1):102-105.
[10]李文仓,李绍伟,赵国建,等.应用模糊数学和灰色系统理论对河南省玉米区试品种分析评价[J].中国种业,2007(6):42-45.
[11]杨引福,李立坤,郭强,等.灰色综合评判在玉米新品种评价中的应用[J].农业科技通讯,2008(4):84-89.
[12]田海燕,战勇,张恒斌,等.8个新疆大豆主栽品种产量与主要产量性状关联度的研究[J].新疆农业科学,2011,48(11):2031-2034.
[13]王鹏,李贵全.不同大豆品系农艺与品质性状的灰色关联度分析[J].山西农业科学,2012,40(12):1243-1246.
[14]吴雨珊,龚万灼,谭千军,等.套作大豆高产优质育种的灰色关联分析[J].大豆科学,2015,34(4):565-570.
[15]闫向前,何鑫,张琪,等.适宜免耕覆秸精量播种栽培方式的夏大豆品种(系)筛选[J].大豆科学,2017,36(6):879-885.
[16]孙健敏,高小丽,高金锋,等.灰色关联度分析法在夏绿豆区域试验品种评价中的应用[J].西北农业学报,2010,19(3):123-126.
[17]侯小峰,刘静,王彩萍,等.绿豆产量与主要农艺性状的灰色关联分析[J].作物杂志,2015(1):53-56.
[18]职明星,甄志高,范春燕,等.灰色关联度评判在花生育种中的应用[J].中国农学通报,2007,23(7):241-244.
[19]李鹏发,苗昊翠,李利民,等.基于灰色关联度分析评价新疆17个引种花生品种[J].中国农学通报,2016,32(21):79-84.
[20]苗昊翠,李利民,张金波,等.基于灰色关联度分析评价新疆引种花生花育系列品种[J].新疆农业科学,2013,50(l):22-26.
[21]牛海龙,刘红欣,李伟堂,等.灰色关联度分析法在花生品种综合评价上的应用[J].东北农业科学,2017,42(5):20-24.
[22]李绍伟,李军华,任丽,等.花生产量与主要农艺性状的灰色关联度分析[J].陕西农业科学,2007(1):37-38.
[23]蓝新隆,唐兆秀,徐日荣.花生产量与主要农艺性状之间的灰色关联度分析[J].江西农业学报,2011,23(8):61-63.
[24]彭慧,赵冰,李树和,等.采用灰色关联分析法综合评价国内主栽山药品种[J].北京农学院学报,2006,10(4):8-10.