Comprehensive evaluation of new maize varieties for grain and fodder based on membership function method

doi:10.14088/j.cnki.issn0439-8114.2023.01.001

Abstract

Abstract: To screen new maize（Zea mays L.） varieties suitable for food and fodder dual-purpose in Du'an Yao Autonomous County of Guangxi, the agronomic characters, yield and quality indexes of 12 new maize varieties were measured, the correlation between various indexes were analyzed, and the comprehensive performance of the tested varieties were evaluated by membership function method. The results showed that the variety with the highest grain yield and whole plant biomass was Guidan 671, which were 10 908 kg/hm² and 49 965 kg/hm² respectively; the second was Zhaoyu 215, which were 10 086 kg/hm² and 47 175 kg/hm² respectively. Grain yield was highly significantly positively correlated with ear diameter and 100 grain weight（P<0.01）, and significantly correlated with whole plant biomass, starch content, ear length and grain number per row（P<0.05）; the whole plant biomass was highly significantly correlated with the number of grains per row（P<0.01）, and significantly correlated with starch content, panicle length, plant height and panicle height（P<0.05）. The comprehensive performance scores of the tested varieties from high to low were Guidan 671, Zhaoyu 215, Guidan 669, Guidan 6208, Guidan 666, Guidan 6205, Guidan 660, Guidan 6203, Guidan 6206, Guidan 162, Guidan 668 and Guidan 673. According to the values of membership function and combined with various indexes, Guidan 671 and Zhaoyu 215 had good comprehensive performance, and could be used as the first choice for food and fodder dual-purpose maize varieties in Du'an Yao Autonomous County.

Key words: maize（Zea mays L.）, food and fodder dual-purpose, membership function method, comprehensive evaluation

CLC Number:

S513

ZOU Cheng-lin, LIN Qiong-xiang, HUANG Kai-jian, ZHAI Rui-ning, YANG Meng, HUANG Ai-hua, MO Run-xiu, WEI Xin-xing, HUANG Yan-fen. Comprehensive evaluation of new maize varieties for grain and fodder based on membership function method[J]. HUBEI AGRICULTURAL SCIENCES, 2023, 62(1): 1-5.

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