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Acta Prataculturae Sinica ›› 2024, Vol. 33 ›› Issue (3): 120-138.DOI: 10.11686/cyxb2023187

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Comprehensive evaluation of silage maize hybrids in the Huanghuaihai plain based on mega-environments delineated using envirotyping techniques

Hai-wang YUE(), Jian-wei WEI(), Guang-cai WANG, Peng-cheng LIU, Shu-ping CHEN, Jun-zhou BU()   

  1. Dryland Farming Institute,Hebei Academy of Agriculture and Forestry Sciences,Hebei Provincial Key Laboratory of Crops Drought Resistance Research,Hengshui 053000,China
  • Received:2023-06-08 Revised:2023-07-05 Online:2024-03-20 Published:2023-12-27
  • Contact: Jun-zhou BU

Abstract:

In the context of global climate change, understanding the climate variables that are most strongly associated with environmental kinships can be useful for selecting hybrids that are better suited to growth in environments with large climatic variations. The main goal of this study was to integrate envirotyping techniques (ET) with a genotype-by-yield×trait (GYT) biplot experiment to evaluate the adaptability, productivity, and stability of silage maize (Zea mays) genotypes growing on the Huanghuaihai plain in China. We used ET and meteorological data from 2002 to 2021 to classify the 12 trial sites in a regional trial of silage maize into mega-environments (MEs). Genotype-by-trait (GT) biplot and GYT biplot experiments were conducted to evaluate 15 silage maize hybrids in the Huanghuaihai National Trial in 2022 in terms of their dry yield, dry matter content, growth period, plant height, ear height, lodging rate, discount rate, empty ear rate, whole plant starch content, neutral detergent fiber content, acid detergent fiber content, and crude protein content. The incidence of common smut, stalk rot, southern leaf blight, curvular leaf spot, and southern corn rust in the 15 silage maize hybrids was also recorded. Additive main effects and multiplicative interaction analyses indicated that the studied agronomic traits were highly significantly (P<0.01) affected by genotype and environment, and the genotype×environment interaction effect reached highly significant levels for all the traits except ear height. Considering 20 years of climate information and 19 environmental covariables, we identi?ed four MEs in the Huanghuaihai plain region; i.e., the ME analysis grouped locations that share similar long-term weather patterns. Correlation analyses showed that dry yield was significantly and positively correlated with plant height and ear height and negatively correlated with lodging rate and discount rate. The GYT biplot analysis combined with MEs identified the promising genotypes in different MEs. Among the evaluated genotypes, Yudan805 showed outstandingly high yields and good stability in the four MEs, and was the most promising genotype across the four MEs. Wannongkeqingzhu8, Chengdan3601, Zhengda511, and Hengyu1996 showed good productivity and stability in ME2, ME3, and ME4. Genotypes such as Ankeqing2 and KNX2202 were less productive in ME1 and ME4, and Jincheng6 was less productive and stable in ME2 and ME3. The combination of ET to delineate MEs and the GYT biplot method to evaluate the mean performance and stability of the 15 tested genotypes revealed the overall performance of the different genotypes across a range of environments. These results provide a theoretical basis for integrated multi-trait evaluation of silage maize genotypes growing on the Huanghuaihai plain.

Key words: silage maize hybrid, mega-environment, genotype-environment interaction, climatic variables, genotype by yield×trait biplot