| Selection of maize varieties suitable for a summer\|sowing soybean\|maize strip intercropping system in the Guanzhong region of Shaanxi province |
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| DOI：10.7606/j.issn.1000-7601.2025.03.01 |
| Key Words: summer maize strip intercropping mode variety selection grey correlation analysis Guanzhong region |
| Author Name | Affiliation | | WAN Qixin | College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, China | | ZHANG Yang | College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, China | | YANG Yiheng | College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, China | | YANG Yongjun | Field Station Management Service Office, Northwest A&F University, Yangling, Shaanxi 712100, China | | LI Dexiao | College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, China |
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| Abstract: |
| To promote soybean\|maize strip intercropping technology in the Guanzhong region of Shaanxi province, 25 maize hybrids were evaluated in a two\|row maize intercropped with three\|row soybean system. Eleven maize traits, including plant height, ear height, and yield\|related characteristics, were investigated and analyzed using variance analysis, correlation analysis, stepwise regression, and grey relational analysis. The aim was to identify key indicators and select maize varieties suitable for the strip intercropping system. The results showed that, under strip intercropping mode, the genetic coefficient of variance was sequenced as 100-kernel weight (81.49%)>seed weight per ear (16.06%) > cob weight(14.31%)> ear height (12.67%) > cob diameter(5.15%)> plant height (4.23%) > rows per ear (4.01%) > ear length (2.35%); and environmental coefficient of variance was sequenced as 100-kernel weight(15.78%)> seed weight per ear(15.31%) > cob weight(14.57%) > ear weight (10.88%) > ear length(8.66%) > rows per ear (7.70%) > plant height (7.42%) > cob diameter(5.09%). The correlation analysis indicated that, the positive significant coefficients of pearson’s and partial correlation were detected between three pairs of seed weight per ear with 100-kernel weight, cob diameter with rows per ear, and plant height with ear height, moreover, the negative significant partial correlation was detected between plant height and rows per ear. The grey relational degrees of ten traits with seed weight per ear were listed as cob weight > 100-kernel weight > kernels per row > plant height > cob diameter > rows per ear > ear diameter > ear height > ear length > bare tip length. A linear regression function of kernels per row(X6)，rows per ear (X7)，100-kernel weight (X9) and seed weight per ear (Y) was established by the stepwise regression analysis: Y=-149.3581+2.3552X6+5.6825X7+3.5012X9 (R2=0.7975), and the path analysis indicated that 100-kernel weight (X9) had the highest direct contribution to seed weight per ear (Y), and more indirect contribution through the correlation path of 100-kernel weight (X9) and kernels per row (X6). The determination coefficient was sorted in the descender order of 100-kernel weight (X9), rows per ear (X7) and kernels per row (X6). The field evaluation should focus on 100-kernel weight, seed weight per ear, cob weight and ear height, etc. The maize varieties suitable for strip intercropping should be characterized by a compact plant type, dwarf stature, low\|height ears, higher 100-kernel weight, more rows per ear, and a greater number of seeds per row. Based on the grey relational analysis, four maize varieties of ‘Denghai 511’, ‘Liangyu 99’, ‘Weiyu 718’, and ‘Denghai 618’ are recommended for the strip intercropping system in summer\|sown fields of the Guanzhong area in Shaanxi province. |
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