Evaluation on Cassava Varieties with Grey System Theory

Lin Hongxin,Yuan Zhanqi,Liu Rengen and Xiao Yunping

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Chinese Agricultural Science Bulletin ›› 2014, Vol. 30 ›› Issue (33) : 94-100. DOI: 10.11924/j.issn.1000-6850.2014-1384

Evaluation on Cassava Varieties with Grey System Theory

  • Lin Hongxin, Yuan Zhanqi, Liu Rengen, Xiao Yunping
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Abstract

To provide a basis for cassava varieties selection of Jiangxi red soil upland, the authors applied grey system theory to comprehensive evaluation on the adaptability of different cassava varieties. Using the grey system theory correlation method, the authors analyzed the main characteristics of the 38 cassava varieties that introduced in 2010 and 2011. The results showed that, H867, H628, H989, H632, H680, SC205, GR024-2, ZM99229, SC8 and H1312 among those 38 varieties had higher correlation with reference variety (>0.619), and their comprehensive performance were better in red soil upland of Jiangxi Province, but the varieties ‘Swiss P11’, ‘Guire 3’, G37, F100 and ‘Swiss 88’ had less correlation with reference variety (<0.506), and their comprehensive performance was bad in Jiangxi province. The grey system theory could be used as cassava adaptability evaluation method. H867, H628, H989, H632, H680, SC205, GR024-2, ZM99229, SC8 and H1312 and other varieties are suitable for planting in Jiangxi Province and have high yield.

Key words

cassava; grey system theory; introduction; evaluation

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Lin Hongxin,Yuan Zhanqi,Liu Rengen and Xiao Yunping. Evaluation on Cassava Varieties with Grey System Theory. Chinese Agricultural Science Bulletin. 2014, 30(33): 94-100 https://doi.org/10.11924/j.issn.1000-6850.2014-1384

References

[1] 温健,郑观溢.木薯北移栽培的可能性及存在问题[J].中国农业科学,1964,5(2):45-48.
[2] 林洪鑫,袁展汽,刘仁根,等.江西红壤旱地木薯农艺性状与产量的关系初步研究[J].中国农学通报,2011,27(27):204-208.
[3] 袁展汽,林洪鑫,古碧,等.北移江西种植的木薯品种鲜薯产量及淀粉品质差异研究[J].热带作物学报,2011,32(11):2007-2011.
[4] 刘录祥,孙其信,王士芸.灰色系统理论应用于作物新品种综合评估初探[J].中国农业科学,1989,22(3):22-27.
[5] 任丽,范君龙,刘新浩,等.利用灰色系统理论对花生区域品种的综合分析评价[J].农业科技通讯,2009(1):76-79.
[6] 陈海玲,黄金堂,郑国栋,等.应用灰色关联分析法评价全国南方区花生新品种区域试验[J]花生学报,2011,40(4):44-47.
[7] 赵金环,崔向华,刘淑艳.运用模糊数学和灰色系统理论分析评价夏播花生区试品种[J].花生学报,2009,38(2):44-48.
[8] 李清华,黄金堂,陈海玲.应用灰色关联分析评价南方区春花生新品种[J].花生学报,2006,35(4):31-35.
[9] 冯连军,朱列书,杨亚,等.烤烟新品种主要数量性状与产量产值的灰色关联分析[J].作物研究,2011,25(1):47-50.
[10] 雷中华,王琴,石必显,等.应用灰色系统理论对向日葵品种进行综合评价[J].新疆农业科学,2010,47(9):1770-1774.
[11] 王军卫,张改生,刘宏伟,等.应用灰色系统理论选育优良杂种小麦品种[J].西北农林科技大学学报:自然科学版,2004,32(1):23-26.
[12] 杨晓燕.应用灰色系统理论综合评估小麦新品种的探讨[J].上海农业学报,1994,10(1):13-19.
[13] 刘廷辉.灰色系统理论在青稞品种综合试验中的应用[J].大麦科学,2004(3):23-25.
[14] 郭媛贞,陈炳坤,黄金堂,等.运用灰色关联分析法评价福建省大麦新品种[J].福建农业大学学报,1996(27):41-44.
[15] 崔向华,霍磊,段萤,等.应用灰色系统理论和模糊数学对芝麻区试品种的分析评价[J].中国油料作物学报,2007,29(4):420-424.
[16] 李海龙.灰色关联度分析法在油菜品种评价中的应用[J].江西农业学报,2001,13(4):35-39.
[17] 向长萍,谢军,周逊,等.灰色系统理论应用于苦瓜主要品种的评估[J].园艺学报,2001,28(6):567-569.
[18] 陈世平,陈光铭.灰色系统理论在柑桔新品种(系)综合评价中的应用初探[J].江西农业大学学报,2000,22(2):282-285.
[19] 沈建生,陈一帆,林贤锐.利用灰色系统理论对早熟桃果实经济性状的综合评判[J].江西农业学报,2011,23(3):1-4.
[20] 唐成斌,龙绍云.灰色系统理论在牧草引种上的应用初探[J].草业科学,1991,8(6):44-47.
[21] 陈冠喜,李开绵,叶剑秋,等.6个木薯品种生长发育及产量性状的初步研究[J].热带农业科学,2009(06):26-29.
[22] 畅宁,刘国道,黄必志.4个木薯新品种引种试种适应性研究初报[J].中国农学通报,2008(02):180-183.
[23] 许泳清,李华伟,汤浩,等.6个木薯品种生长发育及产量性状的初步研究[J].江西农业学报,2011(03):60-62.
[24] 王群芳,陈仲南,邹贵才,等.桂平市木薯品种筛选比较试验报告[J].广西农学报,2008(05):16-19.
[25] 张树河,李海明,吴松海,等.10个木薯新品种(系)引种比较试验[J].中国热带农业,2010(03):39-40.
[26] 刘倩,刘光华,张林辉,等.4个木薯优良品种在怒江干热河谷的试种初报[J].广东农业科学,2010(01):30-32.
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