Journal of Dali University ›› 2023, Vol. 8 ›› Issue (6): 88-94.

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Analysis of Yield and Agronomic Traits of Maize Hybrids Bred from Inbred Line 2408

Ma Chenyu1 Liu Chaorui2 Lü Jianguo1 Zhou Dongyan1Ye Zhilan1*   

  1. 1.College of Agriculture and Biology Science Dali University Dali Yunnan 671003 China2. Yunnan Zufeng Seed Industry Co. Ltd Dali Yunnan 671003 China
  • Received:2022-09-05 Revised:2022-09-26 Online:2023-06-15 Published:2023-06-27

Abstract:

Superior maize in bred lines are the basis of selecting superior hybrids analysis of yield and related agronomic traits of hybrid maize is beneficial to accelerate the process of breeding. In this study maize inbred line 2408 and other 106 inbred lines were used as materials then 2408 was tested and matched with 106 inbred lines respectively then their agronomic traits of the yield and yield components of the test combination were analyzed. The results showed that the yields of crosses 2635 2709 and 2674 were relatively high. The correlation degrees between the yield of cross combinations and related agronomic traits were shown as follows plant height > ear diameter > kernel percentage > water content >rows per ear > kernels per rows > ear length> ear height> 5 ears dry weight > 5 ears grain weight > hundred-grain weight > tassel branch number > length of bare tip. The correlative degree between 5 ears grain weight and 5 ears dry weight was the highest the relationship among plant height ear diameter kernel percentage water content and rows per ear was relatively close and the contribution of bare tip length to each character was the least. Therefore in the subsequent breeding work the three traits of plant height ear diameter and kernel percentage can be used to select new hybrid maize varieties with high yield and good quality and corresponding excellent inbred lines so as to further lay the foundation for the breeding and promotion of plateau maize varieties in Yunnan Province.

Key words:

"> maize inbred lines">, hybrid">, yield">, agronomic traits">, correlation analysis

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