基于非线性主成分分析的绿色超级稻品种综合评价

doi:10.3724/SP.J.1006.2019.82057

Abstract

Abstract:

Application of green super rice (GSR) is regarded as one of the important ways to realize sustainable development of rice production, and has become a major goal of the rice breeding around the world. However, there are few literatures on comprehensive evaluation of GSR varieties. The GSR concept is the development of varieties with insect and disease resistance, high N- and P-use efficiency, drought resistance, high grain yield and superior quality. Based on the GSR concept, we establish a comprehensive evaluation index system of GSR varieties in four dimensions, including technical indicators, economic indicators, ecological indicators and social indicators. This index system should shed light on a new perspective for evaluation of crop varieties, variety breeding as well as the application and extension of new crop varieties. Further, a nonlinear principal component analysis, namely logarithmic principal component analysis, was introduced into the comprehensive evaluation of GSR varieties. Based on field experimental data with a comparative analysis by different methods, we revealed that the logarithmic principal component analysis is feasible and reasonable for comprehensive evaluation of GSR varieties.

Key words: green super rice, comprehensive evaluation, index system, nonlinear principal component analysis

JI Long,SHEN Hong-Fang,XU Chun-Chun,CHEN Zhong-Du,FANG Fu-Ping. Comprehensive evaluation of green super rice varieties based on nonlinear principal component analysis[J].Acta Agronomica Sinica, 2019, 45(7): 982-992.

Figures/Tables 5

Table 1

Comprehensive evaluation index system for GSR varieties"

一级指标 First class indicator	二级指标 Second class indicator	指标说明 Definition of the indicators
技术性指标	有效穗 EP (x₁)	单位面积有效穗数(m^-2)
Technical indicator		Effective panicles per square meter (m^-2)
	结实率 SSR (x₂)	水稻结实率(%)
		Seed-setting rate of rice (%)
	抗倒伏性 LR (x₃)	1=很差, 2=差, 3=一般, 4=较强, 5=很强
		1=very poor, 2=poor, 3=general, 4=strong, 5=very strong
	抗病虫性 RID (x₄)	对主要病虫害的抗性(1=高感, 2=感, 3=中感, 4=中抗, 5=抗, 6=高抗)
		Resistance to major pests and diseases (1=high susceptible, 2=susceptible, 3=moderate susceptible, 4=moderate resistant, 5=resistant, 6=high resistant)
	抗非生物逆境性 AST (x₅)	对干旱、高低温、盐碱等非生物胁迫的抗性(1=很差, 2=差, 3=一般, 4=较强, 5=很强)
		Resistance to abiotic stress (1=very poor, 2=poor, 3=general, 4=strong, 5=very strong)
	生态适应性 EA (x₆)	在不同生长环境、不同年份的稳产表现, 用变异系数表征 (%)
		Yield stability of rice in different growing condition across years, represented by coefficient of variation (%)
一级指标 First class indicator	二级指标 Second class indicator	指标说明 Definition of the indicators
经济性指标	单产 Y (x₇)	每公顷产量(kg hm^-2)
Economic indicator		Yield per hectare (kg hm^-2)
	成本利润率 RPC (x₈)	每公顷成本利润率(%)
		Rate of profit to cost per hectare (%)
	整精米率 HR (x₉)	整精米占净稻谷式样或精米式样的质量分数(%)
		The ratio of head rice to the overall rice sample (%)
	垩白度 CD (x₁₀)	垩白米的垩白面积总和占式样整精米粒面积总和的百分率(%)
		The ratio of chalkiness area of chalky rice to the total area of the head rice for the overall rice sample (%)
	直链淀粉含量 AC (x₁₁)	试样所含直链淀粉的质量占式样总质量的百分率(%)
		The ratio of quality of amylose content to the total quality of the overall sample rice (%)
	透明度 T (x₁₂)	整精米籽粒的透明程度, 以稻米的相对透光率大小表示
		Translucency degree of the head rice, represented by the relative transmittance of rice
生态性指标	氮肥利用率 NUE (x₁₃)	氮肥偏生产力(籽粒产量/施氮量, kg kg^-1)
Ecological indicator		Nitrogen partial factor productivity (grain yield/nitrogen application level, kg kg^-1)
	磷肥利用率 PUE (x₁₄)	磷肥偏生产力(籽粒产量/施磷量, kg kg^-1)
		Phosphate partial factor productivity (grain yield/phosphate application level, kg kg^-1)
	钾肥利用率 PUE2 (x₁₅)	钾肥偏生产力(籽粒产量/施钾量, kg kg^-1)
		Potash partial factor productivity (grain yield/potash application level, kg kg^-1)
	水分利用率 WUE (x₁₆)	籽粒产量/(降雨量-灌水量-排水量)(kg m^-3)
		Grain yield/(precipitation-irrigation-drainage) (kg m^-3)
社会性指标	农药残留 PR (x₁₇)	稻米中的农药残留量
Social indicator		Amount of pesticide residues in rice
	重金属含量 HM (x₁₈)	稻米中的重金属镉含量(mg kg^-1)
		Cadmium content in rice (mg kg^-1)

Table 1

Table 2

Table 3

Table 4

Fig. 1

References 41

[1]	余四斌, 熊银, 肖景华, 罗利军, 张启发 . 杂交稻与绿色超级稻. 科学通报, 2016,61:3797-3803.
	Yu S B, Xiong Y, Xiao J H, Luo L J, Zhang Q F . Hybrid rice and green super rice. Chin Sci Bull, 2016,61:3797-3803 (in Chinese with English abstract).
[2]	Elert E . Rice by the numbers: a good grain. Nature, 2014,514:S50-S51. doi: 10.1038/514S50a
[3]	Zhang Q F . Strategies for developing green super rice. Proc Natl Acad Sci USA, 2007,104:16402-16409. doi: 10.1073/pnas.0708013104
[4]	彭张林, 张强, 杨善林 . 综合评价理论与方法研究综述. 中国管理科学, 2015,23(增刊1):245-256.
	Peng Z L, Zhang Q, Yang S L . Overview of comprehensive evaluation theory and methhodology. Chin J Manage Sci, 2015,23(Suppl 1):245-256 (in Chinese with English abstract).
[5]	邱东, 汤光华 . 对综合评价几个阶段的再思考. 统计教育, 1997, ( 4):25-27.
	Qiu D, Tang G H . Rethink of stages of comprehensive evaluation. Statist Education, 1997, ( 4):25-27 (in Chinese).
[6]	陈衍泰, 陈国宏, 李美娟 . 综合评价方法分类及研究进展. 管理科学学报, 2004,7(2):69-79.
	Chen Y T, Chen G H, Li M J . Classification and research advancement of comprehensive evaluation methods. J Manage Sci China, 2004,7(2):69-79 (in Chinese with English abstract).
[7]	陈国宏, 李美娟 . 基于方法集的综合评价方法集化研究. 中国管理科学, 2004,12(1):102-106.
	Chen G H, Li M J . The research on the comprehensive evaluation methodintegration based on method set. Chin J Manage Sci, 2004,12(1):102-106 (in Chinese with English abstract).
[8]	陈国宏, 李美娟 . 组合评价收敛性验证的计算机模拟实验. 系统工程理论与实践, 2005,25(5):74-82.
	Chen G H, Li M J . The simulation experiment on verifying the convergence of combination evaluation. Syst Eng-Theor Practice, 2005,25(5):74-82 (in Chinese with English abstract).
[9]	郭亚军, 易平涛 . 一种基于整体差异的客观组合评价法. 中国管理科学, 2006,14(3):60-64.
	Guo Y J, Yi P T . Whole diversity-based reasoning for objective combined evaluation. Chin J Manage Sci, 2006,14(3):60-64 (in Chinese with English abstract).
[10]	徐强 . 组合评价法研究. 江苏统计, 2002, ( 10):10-12.
	Xu Q . Research on combined evaluation. Jiangsu Statist, 2002, ( 10):10-12 (in Chinese).
[11]	苏为华 . 我国多指标综合评价技术与应用研究的回顾与认识. 统计研究, 2012,29(8):98-107.
	Su W H . Review and recognition on the research of multi-indicators comprehensive evaluation in China. Statistical Res, 2012,29(8):98-107 (in Chinese with English abstract).
[12]	杨瑰丽, 杨美娜, 李帅良, 曲志恒, 黄明, 陈志强, 王慧 . 水稻萌芽期抗旱指标筛选与抗旱性综合评价. 华南农业大学学报, 2015,36(2):1-5.
	Yang G L, Yang M N, Li S L, Qu Z H, Huang M, Chen Z Q, Wang H . Screening and comprehensive evaluation of drought resistance indices of rice at germination stage. J South China Agric Univ, 2015,36(2):1-5 (in Chinese with English abstract).
[13]	程建峰, 潘晓云, 刘宜柏, 戴廷波, 曹卫星 . 水稻抗旱性鉴定的形态指标. 生态学报, 2005,25:3117-3125.
	Cheng J F, Pan X Y, Liu Y B, Dai T B, Cao W X . Morphological indexes of drought resistance identification in rice. Acta Ecol Sin, 2005,25:3117-3125 (in Chinese with English abstract).
[14]	蔡建国, 章毅, 孙欧文, 杨倩倩 . 绣球抗旱性综合评价及指标体系构建. 应用生态学报, 2018,29:3175-3182.
	Cai J G, Zhang Y, Sun O W, Yang Q Q . Comprehensive evaluation and construction of drought resistance index system in Hydrangea macrophylla. Chin J Appl Ecol, 2018,29:3175-3182 (in Chinese with English abstract).
[15]	韩飞, 诸葛玉平, 娄燕宏, 王会, 张乃丹, 何伟, 晁赢 . 63份谷子种质的耐盐综合评价及耐盐品种筛选. 植物遗传资源学报, 2018,19:685-693.
	Han F, Zhu-Ge Y P, Lou Y H, Wang H, Zhang N D, He W, Chao Y . Evaluation of salt tolerance and screening for salt tolerant accessions of 63 foxtail millet germplasm. J Plant Genet Resour, 2018,19:685-693 (in Chinese with English abstract).
[16]	张海艳, 赵海军 . 不同品种玉米萌发期和苗期耐盐性综合评价. 玉米科学, 2016,24(5):61-67.
	Zhang H Y, Zhao H J . Comprehensive evaluation of salt tolerance of different corn varieties at the germination and seedling stages. J Maize Sci, 2016,24(5):61-67 (in Chinese with English abstract).
[17]	苏李维, 李胜, 马绍英, 戴彩虹, 时振振, 唐斌, 赵生琴, 蒲彦涛 . 葡萄抗寒性综合评价方法的建立. 草业学报, 2015,24(3):70-79.
	Su L W, Li S, Ma S Y, Dai C H, Shi Z Z, Tang B, Zhao S Q, Pu Y T . A comprehensive assessment method for cold resistance of grape vines. Acta Pratacult Sin, 2015,24(3):70-79 (in Chinese with English abstract).
[18]	刘海卿, 孙万仓, 刘自刚, 武军艳, 钱武, 王志江, 郭仁迪, 马骊, 侯献飞, 刘林波 . 北方寒旱区白菜型冬油菜抗寒性与抗旱性评价及其关系. 中国农业科学, 2015,48:3743-3756.
	Liu H Q, Sun W C, Liu Z G, Wu J Y, Qian W, Wang Z J, Guo R D, Ma L, Hou X F, Liu L B . Evaluation of drought resistance and cold resistance and research of their relationship at seedling stage of winter rapeseed (Brassica campestris L.) in cold and arid regions in North China. Sci Agric Sin, 2015,48:3743-3756 (in Chinese with English abstract).
[19]	王树刚, 王振林, 王平, 王海伟, 李府, 黄玮, 武玉国, 尹燕枰 . 不同小麦品种对低温胁迫的反应及抗冻性评价. 生态学报, 2011,31:1064-1072.
	Wang S G, Wang Z L, Wang P, Wang H W, Li F, Huang W, Wu Y G, Yin Y P . Evaluation of wheat freezing resistance based on the responses of the physiological indices to low temperature stress. Acta Ecol Sin, 2011,31:1064-1072 (in Chinese with English abstract).
[20]	于秋竹, 孔宇, 陈东升, 解保胜, 徐正进 . 基于主成分及聚类分析的黑龙江省水稻产量与品质的综合评价. 沈阳农业大学学报, 2015,46:219-224.
	Yu Q Z, Kong Y, Chen D S, Xie B S, Xu Z J . Comprehensive evaluation of yield and quality of rice based on principal component and cluster analysis in Heilongjiang province. J Shenyang Agric Univ, 2015,46:219-224 (in Chinese with English abstract).
[21]	陈晨, 龚海青, 张敬智, 徐寓军, 郜红建 . 不同基因型水稻苗期氮营养特性差异及综合评价. 中国生态农业学报, 2016,24:1347-1355.
	Chen C, Gong H Q, Zhang J Z, Xu Y J, Gao H J . Evaluation of nitrogen nutrition characteristics of different rice cultivars at seedling stage. Chin J Eco-agric, 2016,24:1347-1355 (in Chinese with English abstract).
[22]	王雪, 崔少雄, 孙志梅, 穆国俊, 崔顺立, 王鹏超, 刘立峰 . 基于生物量和养分累积量的花生品种生态适应性评价. 应用生态学报, 2015,26:2023-2029.
	Wang X, Cui S X, Sun Z M, Mu G J, Cui S L, Wang P C, Liu L F . Ecological adaptability evaluation of peanut cultivars based on biomass and nutrient accumulatio. Chin J Appl Ecol, 2015,26:2023-2029 (in Chinese with English abstract).
[23]	钞小静, 任保平 . 中国经济增长质量的时序变化与地区差异分析. 经济研究, 2011,46(4):26-40.
	Chao X J, Ren B P . The fluctuation and regional difference of quality of economic growth in China. Econ Res J, 2011,46(4):26-40 (in Chinese with English abstract).
[24]	叶双峰 . 关于主成分分析做综合评价的改进. 数理统计与管理, 2001,20(2):52-55.
	Ye S F . The application and consideration about principal component analysis. J Appl Statist Manage, 2001,20(2):52-55 (in Chinese with English abstract).
[25]	邱东 . 多指标综合评价:方法论反思. 经济统计学(季刊), 2013, ( 1):39-47.
	Qiu D . Multi-index comprehensive evaluation: A methodological reflection. China Econ Statist Q, 2013, ( 1):39-47 (in Chinese with English abstract).
[26]	张启发 . 未来作物育种对绿色技术的需求. 华中农业大学学报(社会科学版), 2014,33(6):10-15.
	Zhang Q F . Demands for green technologies in future plant breeding. J Huazhong Agric Univ, 2014,33(6):10-15 (in Chinese with English abstract).
[27]	中华人民共和国农业部. 农业行业标准: NY/T 83-2017. 北京: 中国农业出版社, 2017.
	Ministry of Agriculture and Rural Affairs of the People’s Republic of China. Agricultural standard: NY/T 83-2017. Beijing: China Agriculture Press, 2017 (in Chinese).
[28]	程式华 . 2017年中国水稻产业发展报告. 北京: 中国农业科学技术出版社, 2017. pp 169-176.
	Cheng S H. Development Report of China’s Rice Industry in 2017. Beijing: China Agricultural Science and Technology Press, 2017. pp 169-176(in Chinese).
[29]	FAOSTAT. Fertilizer by Nutrient. (2018-08-28)[2018-03-27]. .
[30]	王忠, 顾蕴洁, 陈刚, 熊飞, 李运祥 . 稻米的品质和影响因素. 分子植物育种, 2003,1:231-241.
	Wang Z, Gu Y J, Chen G, Xiong F, Li Y X . Rice quality and its affecting factors. Mol Plant Breed, 2003,1:231-241 (in Chinese with English abstract).
[31]	Gungor Z, Serhadlioglu G, Kesen S E . A fuzzy AHP approach to personnel selection problem. Appl Soft Comput, 2009,9:641-646. doi: 10.1016/j.asoc.2008.09.003
[32]	Rao C R . The use and interpretation of principal component analysis in applied research. Indian J Statist, Ser A(1961-2002), 1964,26:329-358.
[33]	蔡艺 . 主成分方法在综合评价中的应用. 中国统计, 2005, ( 2):24-26.
	Cai Y . Application of principal component analysis in comprehensive evaluation. China Statist, 2005, ( 2):24-26 (in Chinese).
[34]	邱东 . 多指标综合评价方法. 统计研究, 1990,7(6):43-51.
	Qiu D . Multi-index comprehensive evaluation methods. Statist Res, 1990,7(6):43-51 (in Chinese).
[35]	叶明确, 杨亚娟 . 主成分综合评价法的误区识别及其改进. 数量经济技术经济研究, 2016,33(10):142-153.
	Ye M Q, Yang Y J . Erroneous zone identification and improvement of synthesis evaluation based on principal component analysis. J Quantitat & Tech Econom, 2016,33(10):142-153 (in Chinese with English abstract).
[36]	陈军才 . 主成分与因子分析中指标同趋势化方法探讨. 统计与信息论坛, 2005,20(2):19-23.
	Chen J C . Discussion of the same trending methods of indices in principal component analysis and factor analysis. Statist & Inform Forum, 2005,20(2):19-23 (in Chinese with English abstract).
[37]	林海明 . 对主成分分析法运用中十个问题的解析. 统计与决策, 2007, ( 16):16-18.
	Lin H M . Ten questions in application of principal component analysis. Statist & Decision, 2007, ( 16):16-18 (in Chinese).
[38]	叶宗裕 . 关于多指标综合评价中指标正向化和无量纲化方法的选择. 浙江统计, 2003, ( 4):24-25.
	Ye Z Y . Methods for handling the indexes positively and non-dimensionally in comprehensive evaluations. Zhejiang Statist, 2003, ( 4):24-25 (in Chinese).
[39]	胡永宏 . 对统计综合评价中几个问题的认识与探讨. 统计研究, 2012,29(1):26-30.
	Hu Y H . Understanding and discussion of some problems in statistical synthesis evaluation. Statist Res, 2012,29(1):26-30 (in Chinese with English abstract).
[40]	李靖华, 郭耀煌 . 主成分分析用于多指标评价的方法研究: 主成分评价. 管理工程学报, 2002,16(1):39-43.
	Li J H, Guo Y H . Principal component evaluation: a multivariate evaluate method expand from principal component analysis. J Ind Eng & Eng Manage, 2002,16(1):39-43 (in Chinese with English abstract).
[41]	林海明, 杜子芳 . 主成分分析综合评价应该注意的问题. 统计研究, 2013,30(8):25-31.
	Lin H M, Du Z F . Some problems in comprehensive evaluation in the principal component analysis. Statist Res, 2013,30(8):25-31 (in Chinese with English abstract).

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

Comments

Recommended 0

No Suggested Reading articles found!

	特征值 Eigenvalue	方差贡献率 Variance contribution rate	累计方差贡献率 Accumulate variance contribution rate
主成分1 Principal component 1	2.786	0.310	0.310
主成分2 Principal component 2	1.725	0.192	0.501
主成分3 Principal component 3	1.393	0.155	0.656
主成分4 Principal component 4	1.170	0.130	0.786
主成分5 Principal component 5	0.782	0.087	0.873
主成分6 Principal component 6	0.630	0.070	0.943
主成分7 Principal component 7	0.311	0.035	0.977
主成分8 Principal component 8	0.199	0.022	0.999

	主成分1 Principal component 1	主成分2 Principal component 2	主成分3 Principal component 3	主成分4 Principal component 4
有效穗 EP (ln X₁)	0.474	0.144		-0.139
结实率 SSR (ln X₂)	0.467	-0.305
抗倒伏性LR (ln X₃)	0.420	-0.184	-0.173	-0.145
抗病虫性RID (ln X₄)	0.109	0.523	-0.314	0.266
单产Y (ln X₇)	0.449	0.306	-0.333
整精米率HR (ln X₉)	-0.182	0.363	0.115	0.679
垩白度CD (ln X₁₀)		0.589	-0.340	-0.153
直链淀粉含量AC (ln X₁₁)	0.103		0.571	-0.511
氮素利用效率NUE (ln X₁₃)	0.347		0.553	0.375

品种 Variety	综合得分 Score	排序1 Rank 1	排序2 Rank 2	品种 Variety	综合得分 Score	排序1 Rank 1	排序2 Rank 2
武运粳30 Wuyungeng 30	1.027	1	1	南粳9108 Nangeng 9108	0.978	8	2
甬优2640 Yongyou 2640	1.017	2	6	淮稻13 Huaidao 13	0.976	9	8
宁粳5号 Ninggeng 5	1.011	3	9	镇稻10号 Zhendao 10	0.965	10	5
武运粳24 Wuyungeng 24	1.007	4	4	扬粳4038 Yanggeng 4038	0.958	11	12
连粳7号Liangeng 7	1.003	5	11	宁粳1号 Ninggeng 1	0.888	12	10
甬优1540 Yongyou 1540	0.994	6	3	镇稻16 Zhendao 16	0.850	13	13
淮稻5号Huaidao 5	0.982	7	7

Comprehensive evaluation of green super rice varieties based on nonlinear principal component analysis

RichHTML352

PDF

Abstract

Cite this article

share this article

Figures/Tables 5

References 41

Related Articles 15

Metrics

Comments

Recommended 0

[1]	HU Liang-Liang, WANG Su-Hua, WANG Li-Xia, CHENG Xu-Zhen, CHEN Hong-Lin. Identification of salt tolerance and screening of salt tolerant germplasm of mungbean (Vigna radiate L.) at seedling stage [J]. Acta Agronomica Sinica, 2022, 48(2): 367-379.
[2]	SONG Li-Jun, NIE Xiao-Yu, HE Lei-Lei, KUAI Jie, YANG Hua, GUO An-Guo, HUANG Jun-Sheng, FU Ting-Dong, WANG Bo, ZHOU Guang-Sheng. Screening and comprehensive evaluation of shade tolerance of forage soybean varieties [J]. Acta Agronomica Sinica, 2021, 47(9): 1741-1752.
[3]	ZHANG He, JIANG Chun-Ji, YIN Dong-Mei, DONG Jia-Le, REN Jing-Yao, ZHAO Xin-Hua, ZHONG Chao, WANG Xiao-Guang, YU Hai-Qiu. Establishment of comprehensive evaluation system for cold tolerance and screening of cold-tolerance germplasm in peanut [J]. Acta Agronomica Sinica, 2021, 47(9): 1753-1767.
[4]	GAO Huan-Huan,YE Sang,WANG Qian,WANG Liu-Yan,WANG Rui-Li,CHEN Liu-Yi,TANG Zhang-Lin,LI Jia-Na,ZHOU Qing-Yuan,CUI Cui. Screening and comprehensive evaluation of aluminum-toxicity tolerance during seed germination in Brassca napus [J]. Acta Agronomica Sinica, 2019, 45(9): 1416-1430.
[5]	Cui CUI,Chuang CHENG,Yu-Feng ZHAO,Huan-Huan GAO,Rui-Li WANG,Liu-Yan WANG,Qing-Yuan ZHOU. Screening and comprehensive evaluation of aluminum-toxicity tolerance during germination stage in 52 varieties (lines) of pea germplasm [J]. Acta Agronomica Sinica, 2019, 45(5): 798-805.
[6]	YUAN Yi-Chuan, CHEN Xiao-Yu, LI Ming-Ming, LI Ping, JIA Ya-Tao, HAN Yuan-Huai, XING Guo-Fang. Screening of germplasm tolerant to low phosphorus of seedling stage and response of root protective enzymes to low phosphorus in foxtail millet [J]. Acta Agronomica Sinica, 2019, 45(4): 601-612.
[7]	Yang-Dong XU,Kuan-Yu ZHU,Xing-Chuan ZHANG,Zhi-Qin WANG,Jian-Chang YANG. Analysis in agronomic and physiological traits of green super rice [J]. Acta Agronomica Sinica, 2019, 45(1): 70-80.
[8]	Qian WANG,Cui CUI,Sang YE,Ming-Sheng CUI,Yu-Feng ZHAO,Na LIN,Zhang-Lin TANG,Jia-Na LI,Qing-Yuan ZHOU. Screening and Comprehensive Evaluation of Germplasm Resources with Tribenuron-methyl Tolerance at Germination Stage in Rapeseed (Brassica napus L.) [J]. Acta Agronomica Sinica, 2018, 44(8): 1169-1184.
[9]	Long LI,Xin-Guo MAO,Jing-Yi WANG,Xiao-Ping CHANG,Yu-Ping LIU,Rui-Lian JING. Drought Tolerance Evaluation of Wheat Germplasm Resources [J]. Acta Agronomica Sinica, 2018, 44(7): 988-999.
[10]	WANG Can,ZHOU Ling-Bo,ZHANG Guo-Bing,ZHANG Li-Yi,XU Yan,GAO Xu,JIANG Ne,SHAO Ming-Bo. Identification and Indices Screening of Drought Resistance at Adult Plant Stage in Job’s Tears Germplasm Resources [J]. Acta Agron Sin, 2017, 43(09): 1381-1394.
[11]	WANG Hai-Gang,JIA Guan-Qing,ZHI Hui,WEN Qi-Fen,DONG Jun-Li,CHEN Ling,WANG Jun-Jie,CAO Xiao-Ning,LIU Si-Chen,WANG Lun,QIAO Zhi-Jun,DIAO Xian-Min. Phenotypic Diversity Evaluations of Foxtail Millet Core Collections [J]. Acta Agron Sin, 2016, 42(01): 19-30.
[12]	ZHANG Hui,GU Shi-Liang,LI Tao. A New Algorithm for Conformity and Its Application [J]. Acta Agron Sin, 2016, 42(01): 141-148.
[13]	LI Long,WANG Lan-Fen,WU Jing,JING Rui-Lian,WANG Shu-Min. Identification of Drought Resistence at Seedlings Stage in Common Bean (Phaseolus vulgaris* L.) Varieties [J]. Acta Agron Sin, 2015, 41(06): 963-971.
[14]	LUO Jun-Jie,OU Qiao-Ming,YE Chun-Lei,WANG Fang,WANG Yong-Zhen,CHEN Yu-Liang. Comprehensive Valuation of Drought Resistance and Screening of Indices of Important Flax Cultivars [J]. Acta Agron Sin, 2014, 40(07): 1259-1273.
[15]	LI Xiang-Dong;TANG Yong-Lu;SUI Peng;GAO Wang-Sheng;YANG Shi-Qi;CHEN Yuan-Quan;LIU Ding-Hui;MA Yue-Cun. The Evaluation on Sustainability of Paddy Field Conservation Farming System (CFS) in Sichuan Basin, China [J]. Acta Agron Sin, 2007, 33(06): 942-948.