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Acta Agronomica Sinica ›› 2024, Vol. 50 ›› Issue (1): 149-160.doi: 10.3724/SP.J.1006.2024.24265

• CROP GENETICS & BREEDING·GERMPLASM RESOURCES·MOLECULAR GENETICS • Previous Articles     Next Articles

Analysis of genotype × environment interaction and stability of yield components in faba bean lines

SHAO Yang1(), GUO Yan-Ping1, ZHOU Bing-Yue2, ZHANG Feng3,4, ZHANG Xin-Ming2, WANG Yu-Ping2,4,*()   

  1. 1Gansu Linxia Hui Autonomous Prefecture Academy of Agricultural Sciences, Linxia 731100, Gansu, China
    2College of Horticulture, Gansu Agricultural University, Lanzhou 730070, Gansu, China
    3College of Agronomy, Gansu Agricultural University, Lanzhou 730070, Gansu, China
    4Gansu Agricultural University / Gansu Key Laboratory of Crop Improvement & Germplasm Enhancement, Lanzhou 730070, Gansu, China
  • Received:2022-11-30 Accepted:2023-04-17 Online:2024-01-12 Published:2023-12-16
  • Contact: *E-mail: wangyp@gsau.edu.cn
  • Supported by:
    National Natural Science Foundation of China(31760351);China Agriculture Research System of MOF and MARA(CARS-08)

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Abstract:

The objective of this study is to evaluate the productivity components, stability, and adaptability of faba bean yield traits of advance lines in different pilots and select excellent lines adapted to different mage-environments. The representativeness and discriminating ability of each test-environment pilots were also evaluated, providing a basis for the selection of test-pilots. To measure plant height, grains of per plant, pods of per plant, the number of branches, 100-grain weight, and yield of per plot, a total of five advance lines [0215-1-4 (L1), 0208-3-1 (L2), 0208-3-2 (L3), 0323-2-1 (L4), and 0161-1 (L5)] and one control variety Henzheng ga candou (L6) were planted in 2017 and 2018 in Gansu province insix pilots including Countries of Hezheng, Kangle, Jishishan, Weiyuan, Linxia, and Zhang. The genotype and genotype with environment interactions of yield were analyzed by the combined analysis of variance and GGE biplot. The plot yield and plant height had no significant difference in genotype and environment interactions effect, all the other yield components had significant differences (P<0.01) in genotype effect, environmental effect, and genotype and environment interaction effect. There were very significant differences between genotype and year interaction on the number of branches, pods of per plant, grains per plant, and 100-weight grain (P<0.01) while there was no significant difference between plant height and grains of per plant. The correlation analysis showed that yield of per plot was significantly at P < 0.05 and positively correlated with pods of per plant, but negatively correlated with 100-grain weight. The GGE analysis demonstrated that the adaptability, yield, and stability of varieties (lines), as well as the ability of discrimination and the representativeness of pilots all had high GGE variation values, ranging from 78.54% to 97.38%. According to the adaptability analysis of faba bean varieties (lines), L3 had the highest yield adaptability in Kangle county, Jishishan county, Weiyuan county, Linxia county, and Hezheng county in 2018. According to the stability analysis, the varieties (lines) with the high yield in order were L3 > L2 > L6 > L4, and the varieties (lines) with the high stability in order were L4 > L1 > L5 > L3. The discriminating ability of the pilot was Kangle county in 2017, followed by Jishishan county in 2017 and 2018, and the representativeness of the pilot was Weiyuan county in 2017, followed by Kangle county in 2018 and Jishishan county in 2018. The lines with stable and high yield were L3 and L4. Combined with the ability of distinguishing and representativeness of the pilot, the most ideal mage-environment was Jishishan county. Based on GGE biplot data, faba bean with superior yield-trait components were identified in Gansu province and provided a reference base for comprehensive evaluation of faba bean varieties.

Key words: faba bean, GGE biplot, multi-years and sites, yield component traits, pilot evaluation

Table 1

Advanced lines and domestic main variety of faba bean"

品种(系)编号
Variety (line) number		 品种(系)
Variety (line)		 试验年份
Year
L1 0215-1-4 2017-2018
L2 0208-3-1 2017-2018
L3 0208-3-2 2017-2018
L4 0323-2-1 2017-2018
L5 0161-1 2017-2018
L6 (Control) 和政尕蚕豆Hezhengga candou 2017-2018

Table 2

Characteristics of the tested locations used in this study"

地点
Location		 海拔
Altitude
(m)		 年降雨量
Annual
precipitation
(mm)		 年日照时数
Annual
sunshine
(h)		 年均温度
Mean annual temperature (℃)		 无霜期
Frostless period (d)		 土壤类型
Soil type		 土壤质地
Soil texture
和政县
Hezheng county		 2340 628 2504.9 5.1 130 山地黑麻土
Montane black hemp soil		 中壤土
Medium loam
康乐县
Kangle county		 2200 600 2510.0 6.1 140 山地黑麻土
Montane black hemp soil		 中壤土
Medium loam
积石山县
Jishishan county		 2600 728 2504.9 5.0 126 山地黑麻土
Montane black hemp soil		 中壤土
Medium loam
渭源县
Weiyuan county		 2240 580 2421.0 5.7 131 山地黑麻土
Montane black hemp soil		 中壤土
Medium loam
临夏县
Linxia county		 2035 450 2323.5 7.2 155 黄土
Loess		 中壤土
Medium loam
漳县
Zhang county		 2600 640 2214.9 4.4 101 山地黑麻土
Montane black hemp soil		 中壤土
Medium loam

Fig. 1

Agronomic characters in different pilots HZ: Hezheng county; KL: Kangle county; JSS: Jishishan county; WY: Weiyuan county; LX: Linxia county; ZX: Zhang county."

Table 3

Analysis of variance for agronomic traits in faba bean"

性状
Trait		 变异来源
Source of
variations		 自由度
DF		 平方和
Sum of square		 均值
Mean value		 F检验
F-test		 显著性
Significance
小区产量
Plot yield		 基因型G 5 17,215.189 3443.038 0.656 0.659
环境E 5 19,281.128 3856.226 0.735 0.602
互作G×E 25 5298.575 211.943 0.040 1.000
残差Residual 36 188,859.429 5246.095
总变异Total 71 230,654.322
株高
Plant height		 基因型G 5 1478.344 295.669 5.443 0.001
环境E 5 2430.911 486.182 8.949 < 0.001
互作G×E 25 858.839 34.354 0.632 0.883
残差Residual 36 1955.730 54.326
总变异Total 71 6723.824
分枝数
Branch number		 基因型G 5 22.934 4.587 256.008 < 0.001
环境E 5 0.296 0.059 3.301 0.015
互作G×E 25 2.032 0.081 4.536 < 0.001
残差Residual 36 0.645 0.018
总变异Total 71 25.907
株荚数
Pod number per plant		 基因型G 5 977.703 195.541 118.430 < 0.001
环境E 5 11.863 2.373 1.437 0.235
互作G×E 25 157.559 6.302 3.817 < 0.001
残差Residual 36 59.440 1.651
总变异Total 71 1206.564
株粒数
Grain number per plant		 基因型G 5 5924.452 1184.890 238.315 < 0.001
环境E 5 131.253 26.251 5.280 0.001
互作G×E 25 694.860 27.794 5.590 < 0.001
残差Residual 36 178.990 4.972
总变异Total 71 6929.555
百粒重
Hundred-
grain weight		 基因型G 5 6539.353 1307.871 69,835.871 < 0.001
环境E 5 117.487 23.497 1254.678 < 0.001
互作G×E 25 624.980 24.999 1334.873 < 0.001
残差Residual 36 0.674 0.019
总变异Total 71 7282.494

Fig. 2

Agronomic traits adaptability by the GGE biplot A: plot yield; B: plant height; C: branches number; D: pods number per plant; E: grains number per plant; F: 100-grain weight. HZ: Hezheng county; KL: Kangle county; JSS: Jishishan county; WY: Weiyuan county; LX: Linxia county; ZX: Zhang county."

Fig. 3

Agronomic traits stability by the GGE biplot A: plot yield; B: plant height; C: branches number; D: pods number per plant; E: grains number per plant; F: 100-grain weight. HZ: Hezheng county; KL: Kangle county; JSS: Jishishan county; WY: Weiyuan county; LX: Linxia county; ZX: Zhang county."

Fig. 4

Discriminative and representativeness of pilot by the GGE biplot A: plot yield; B: plant height; C: branches number; D: pods number per plant; E: grains number per plant; F: 100-grain weight. HZ: Hezheng county; KL: Kangle county; JSS: Jishishan county; WY: Weiyuan county; LX: Linxia county; ZX: Zhang county."

Fig. 5

Pearson correlations heatmap between traits across evaluated genotypes of faba bean MC: plot yield; ZG: plant height; FZ: branch number; ZJS: pod number per plant; ZLS: grain number per plant; BLZ: 100-grain weight. *: P < 0.05; **: P < 0.01."

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