Crops ›› 2024, Vol. 40 ›› Issue (6): 39-46.doi: 10.16035/j.issn.1001-7283.2024.06.005

Previous Articles     Next Articles

Analysis of the Traits Related to Lodging-Resistance and Construction of a Comprehensive Evaluation System for Spring Wheat Varieties in Ningxia

Fan Ming(), Zhang Shuangxi, Chen Jia, Zhang Jiao, Li Hongxia()   

  1. Crops Research Institute of Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan 750002, Ningxia, China
  • Received:2023-12-24 Revised:2024-03-14 Online:2024-12-15 Published:2024-12-05

RichHTML

10

PDF (PC)

157

Abstract:

In order to ascertain the trait indices closely associated with the lodging-resistance of spring wheat and establish an evaluative system for lodging-resistance in Ningxia, this study utilized 60 spring wheat varieties as subjects, and we measured and scrutinized 25 traits encompassing plant stem morphological characteristics, spike traits, stem strength, and lodging resistance index via variance analysis. This approach aimed to elucidate difference among different varieties within the same trait category. Utilizing correlation and path analyses, we identified indices intricately linked to spring wheat lodging-resistance and formulated an evaluation system employing principal component analysis and linear regression. Our findings revealed the significant variations in stem weight, stem length, and lodging resistance index among the 60 spring wheat varieties. Notably, the second internode fracture resistance force, spike weight, and stem strength exhibited the highly significant positive correlations with the lodging resistance index. Additionally, the direct path coefficient of the second internode fracture resistance force to the lodging resistance index was the highest. There is a discrepancy between the ranking of the correlation coefficients and the direct path coefficients of spike weight and stem strength to the lodging-resistance index mainly due to the mutual influences among agronomic traits. The eight traits including height of gravity center, spike weight, plant fresh weight, stem diameter, stem strength, the second internode fracture resistance force, the second internode stem length could be used as potential indicators for evaluating lodging-resistance of spring wheat in Ningxia.

Key words: Spring wheat, Lodging resistant, Stem strength, Principal component analysis, Evaluation system

Table 1

Difference analysis of panicle traits and lodging resistance indexes in different spring wheat varieties"

项目
Item		 株高
PH (cm)		 重心高度
CG (cm)		 穗长
SL (cm)		 穗粒数
KPS		 穗重
PW (g)		 植株鲜重
PFW (g)		 茎秆强度
SS (N)		 抗倒伏指数
LRI (g/cm)
最小值Minimum 71.90 48.93 6.60 20.20 3.30 7.13 0.12 3.11
最大值Maximum 130.70 80.33 12.80 51.00 8.45 18.76 0.27 19.34
均值Mean 96.85 60.60 9.26 34.12 4.95 10.80 0.18 11.43
标准差Standard deviation 14.39 7.36 1.14 6.42 0.93 2.03 0.03 4.02
方差Variance 210.56 55.03 1.32 41.91 0.87 4.18 0.00 16.47
偏度Skewness 1.03 1.01 0.58 0.16 1.11 1.38 0.65 0.19
峰度Kurtosis 0.11 0.00 1.12 0.18 2.48 3.75 0.35 -0.44
变异系数CV (%) 14.86 12.15 12.31 18.82 18.79 18.80 16.67 35.17

Table 2

Difference analysis of length of each stem internode in different spring wheat varieties"

项目
Item		 第一节间
1st internode		 第二节间
2nd internode		 第三节间
3rd internode		 第四节间
4th internode		 第五节间
5th internode
茎长
SL
(cm)		 茎粗
ST
(mm)		 茎重
SW
(g)		 茎长
SL
(cm)		 茎粗
ST
(mm)		 茎重
SW
(g)		 抗折力
FS		 壁厚
WT
(mm)		 茎长
SL
(cm)		 茎粗
ST
(mm)		 茎重
SW
(g)		 茎长
SL
(cm)		 茎粗
ST
(mm)		 茎重
SW
(g)		 茎长
SL
(cm)		 茎粗
ST
(mm)		 茎重
SW
(g)
最小值Minimum 1.00 2.78 0.07 3.97 3.29 0.20 1.98 0.53 7.85 3.57 0.58 12.22 3.64 0.73 22.88 2.86 0.22
最大值Maximum 8.19 4.94 0.65 25.49 4.71 1.11 13.08 1.24 18.56 5.06 2.65 33.87 5.20 4.79 52.14 5.27 4.70
均值Mean 3.82 3.42 0.25 8.22 3.94 0.62 6.79 0.78 12.53 4.28 1.04 22.06 4.53 1.70 36.62 3.81 1.88
标准差Standard deviation 1.40 0.34 0.10 3.06 0.29 0.18 2.25 0.14 2.41 0.31 0.33 4.09 0.38 0.59 5.38 0.46 0.72
方差Variance 2.00 0.12 0.01 9.50 0.08 0.03 5.16 0.02 5.90 0.10 0.11 17.05 0.15 0.35 29.40 0.22 0.52
偏度Skewness 0.48 1.25 0.88 3.25 0.20 0.45 0.49 1.03 0.47 -0.07 2.15 0.51 -0.35 2.73 0.26 0.46 1.47
峰度Kurtosis 1.23 4.95 3.18 16.23 0.04 0.33 0.18 1.26 0.02 -0.38 8.24 0.55 -0.60 12.11 0.50 0.65 3.98
变异系数CV (%) 36.65 9.94 40.00 37.22 7.36 29.03 33.14 17.95 19.23 7.24 31.73 18.54 8.39 34.71 14.69 12.07 38.30

Table 3

Correlation analysis between traits"

性状
Trait		 SL KPS KPW PFW PH CG 1ISL 2ISL 3ISL 4ISL 5ISL 1IST 2IST 3IST 4IST 5IST 1ISW 2ISW 3ISW 4ISW 5ISW 2FS 2WT SS LRI
SL 1.000
KPS 0.467** 1.000
KPW 0.423** 0.299* 1.000
PFW 0.466** 0.362** 0.663** 1.000
PH 0.292* 0.207 -0.054 0.488** 1.000
CG 0.226 0.149 -0.035 0.416** 0.935** 1.000
1ISL -0.087 -0.044 -0.105 0.183 0.379** 0.368** 1.000
2ISL -0.038 0.004 -0.067 0.217 0.527** 0.548** 0.442** 1.000
3ISL -0.019 0.002 -0.128 0.163 0.466** 0.505** 0.433** 0.617** 1.000
4ISL -0.105 -0.036 -0.133 0.039 0.198 0.240 0.371** 0.438** 0.859** 1.000
5ISL -0.046 -0.204 -0.167 0.123 0.548** 0.635** 0.303* 0.551** 0.499** 0.411** 1.000
1IST 0.158 0.081 0.151 0.247 -0.073 -0.146 0.230 -0.091 -0.191 -0.198 -0.192 1.000
2IST 0.052 0.191 0.371** 0.234 -0.312* -0.303* -0.010 0.017 -0.185 -0.143 -0.256* 0.559** 1.000
3IST 0.124 0.093 0.488** 0.278* -0.417** -0.420** -0.143 -0.117 -0.154 -0.062 -0.289* 0.447** 0.760** 1.000
4IST 0.133 0.125 0.482** 0.325* -0.210 -0.213 -0.208 -0.096 -0.401** -0.423** -0.264* 0.380** 0.636** 0.626** 1.000
5IST -0.197 -0.077 0.078 0.255* 0.270* 0.211 0.251 0.213 0.031 -0.172 0.043 0.141 0.054 -0.115 0.109 1.000
1ISW 0.155 -0.012 0.129 0.264* 0.325* 0.361** 0.431** 0.226 -0.061 -0.120 0.256* 0.330* 0.121 -0.105 0.099 0.078 1.000
2ISW 0.283* 0.177 0.190 0.582** 0.692** 0.673** 0.417** 0.534** 0.375** 0.129 0.483** 0.240 0.111 -0.141 0.026 0.313* 0.621** 1.000
3ISW 0.138 0.002 0.264* 0.453** 0.329* 0.317* 0.137 0.233 0.227 0.115 0.230 0.162 0.116 0.093 0.178 0.146 0.348** 0.481** 1.000
4ISW 0.365** 0.071 0.601** 0.479** 0.253 0.250 0.051 0.129 0.174 0.106 0.025 0.146 0.078 0.144 0.194 0.073 0.187 0.436** 0.427** 1.000
5ISW 0.439** 0.199 0.592** 0.697** 0.484** 0.414** 0.049 0.209 0.230 0.061 0.097 0.200 0.086 0.173 0.258* 0.176 0.063 0.464** 0.411** 0.798** 1.000
2FS 0.435** 0.297* 0.589** 0.602** -0.085 -0.184 -0.134 -0.207 -0.204 -0.123 -0.270* 0.192 0.314* 0.389** 0.326* 0.117 -0.093 0.007 0.128 0.181 0.345** 1.000
2WT 0.145 -0.063 0.074 0.239 0.104 0.046 0.066 0.049 -0.069 -0.240 0.066 0.153 0.178 0.122 0.185 0.127 0.079 0.198 -0.099 -0.111 0.105 0.284* 1.000
SS -0.092 0.021 -0.098 -0.124 -0.134 -0.173 -0.059 0.187 0.110 0.129 -0.004 -0.012 0.106 0.047 0.010 -0.101 -0.161 -0.161 -0.235 -0.217 -0.107 0.080 0.145 1.000
LRI 0.297* 0.224 0.504** 0.388** -0.347** -0.458** -0.255* -0.357** -0.339** -0.195 -0.447** 0.190 0.355** 0.452** 0.337** 0.051 -0.234 -0.222 0.005 0.068 0.170 0.950** 0.261* 0.471** 1.000

Table 4

Path coefficients between lodging resistance index and its significantly correlated traits"

性状Trait SL KPW PFW PH CG 1ISL 2ISL 3ISL 5ISL 2IST 3IST 4IST 2FS 2WT SS
SL -0.0502 -0.0009 -0.0395 0.0190 -0.0564 0.0032 -0.0001 0.0000 0.0023 -0.0002 0.0031 -0.0024 0.4150 0.0041 0.0000
KPW -0.0213 -0.0022 -0.0562 -0.0035 0.0088 0.0039 -0.0002 -0.0002 0.0082 -0.0011 0.0122 -0.0087 0.5618 0.0021 0.0003
PFW -0.0234 -0.0015 -0.0848 0.0317 -0.1037 -0.0068 0.0006 0.0002 -0.0061 -0.0007 0.0070 -0.0059 0.5744 0.0069 0.0000
PH -0.0147 0.0001 -0.0414 0.0649 -0.2333 -0.0141 0.0014 0.0007 -0.0270 0.0010 -0.0104 0.0038 -0.0807 0.0030 -0.0006
CG -0.0114 0.0001 -0.0352 0.0607 -0.2495 -0.0137 0.0015 0.0008 -0.0313 0.0009 -0.0105 0.0038 -0.1754 0.0013 -0.0007
1ISL 0.0044 0.0002 -0.0155 0.0246 -0.0918 -0.0373 0.0012 0.0007 -0.0149 0.0000 -0.0036 0.0037 -0.1279 0.0019 -0.0003
2ISL 0.0019 0.0001 -0.0184 0.0342 -0.1368 -0.0165 0.0027 0.0009 -0.0272 -0.0001 -0.0029 0.0017 -0.1979 0.0014 -0.0002
3ISL 0.0009 0.0003 -0.0138 0.0302 -0.1260 -0.0161 0.0017 0.0015 -0.0246 0.0006 -0.0039 0.0072 -0.1948 -0.0020 -0.0002
5ISL 0.0023 0.0004 -0.0105 0.0355 -0.1584 -0.0113 0.0015 0.0007 -0.0492 0.0008 -0.0072 0.0048 -0.2577 0.0019 -0.0005
2IST -0.0026 -0.0008 -0.0198 -0.0203 0.0755 0.0004 0.0000 -0.0003 0.0126 -0.0031 0.0190 -0.0115 0.2998 0.0051 0.0004
3IST -0.0062 -0.0011 -0.0236 -0.0271 0.1048 0.0053 -0.0003 -0.0002 0.0143 -0.0023 0.0250 -0.0113 0.3710 0.0035 0.0004
4IST -0.0067 -0.0011 -0.0275 -0.0136 0.0530 0.0077 -0.0003 -0.0006 0.0130 -0.0020 0.0157 -0.0180 0.3113 0.0053 0.0004
2FS -0.0218 -0.0013 -0.0510 -0.0055 0.0458 0.0050 -0.0006 -0.0003 0.0133 -0.0010 0.0097 -0.0059 0.9545 0.0081 0.0008
2WT -0.0073 -0.0002 -0.0203 0.0068 -0.0116 -0.0025 0.0001 -0.0001 -0.0033 -0.0006 0.0030 -0.0033 0.2707 0.0286 0.0006
SS 0.0000 -0.0003 -0.0016 -0.0193 0.0828 0.0050 -0.0003 -0.0002 0.0131 -0.0007 0.0048 -0.0039 0.3785 0.0079 0.0021

Table 5

Total variance of interpretation of traits"

成分
Component		 初始特征值Initial eigenvalue 提取平方和载入Extract square sum loading
特征值EV 方差贡献百分比VCP (%) 累计贡献率CP (%) 特征值EV 方差贡献百分比VCP (%) 累计贡献率CP (%)
1 4.903 32.685 32.685 4.903 32.685 32.685
2 3.315 22.097 54.782 3.315 22.097 54.782
3 1.547 10.314 65.096 1.547 10.314 65.096
4 1.285 8.563 73.659 1.285 8.563 73.659
5 0.965 6.430 80.090
6 0.660 4.397 84.487
7 0.524 3.493 87.980
8 0.416 2.776 90.756
9 0.375 2.501 93.257
10 0.321 2.139 95.396
11 0.266 1.772 97.168
12 0.197 1.310 98.478
13 0.116 0.773 99.251
14 0.071 0.475 99.726
15 0.041 0.274 100.000

Table 6

The principal component score matrix"

性状
Trait		 成分Component
1 2 3 4
穗长SL 0.700 0.151 0.417 -0.126
穗重PW -0.394 0.678 0.098 -0.350
植株鲜重PFW -0.028 0.896 -0.152 -0.225
株高PH 0.736 0.495 -0.285 -0.035
重心高度CG 0.776 0.463 -0.210 -0.071
2SL 0.633 0.420 0.285 0.272
5SL -0.304 0.525 -0.433 0.225
3SL 0.807 0.333 0.292 0.016
5SL 0.733 0.246 0.111 0.151
2ST -0.587 0.397 0.474 0.157
3ST -0.666 0.365 0.495 -0.019
4ST -0.593 0.472 0.218 0.047
2FS -0.512 0.540 -0.206 0.605
2WT -0.164 0.373 -0.376 0.089
茎秆强度SS -0.057 -0.030 0.235 0.735

Table 7

Correlation between F-value and lodging resistance related traits"

性状Trait F值F-value
穗重PW 0.661**
植株鲜重PFW 0.525**
重心高度CG -0.254*
2SL 0.077*
2ST 0.862**
3ST 0.865**
2FS 0.771**
茎秆强度SS 0.310**
茎秆抗倒伏指数CLRI 0.545**
[1] 曹玲珍, 张耀明, 陈秀清, 等. 小麦倒伏对产量的影响及预防措施. 上海农业科技, 2017(1):123-124.
[2] 朱新开, 王祥菊, 郭凯泉, 等. 小麦倒伏的茎秆特征及对产量与品质的影响. 麦类作物学报, 2006, 26(1):87-92.
[3] Crook M J, Ennos A R. Stem and root characteristics associated with lodging resistance in four winter wheat cultivars. The Journal of Agricultural Science, 1994, 123(2):167-174.
[4] 孙盈盈, 王超, 王瑞霞, 等. 小麦倒伏原因、机理及其对产量和品质影响研究进展. 农学学报, 2022, 12(3):1-5.
doi: 10.11923/j.issn.2095-4050.cjas2020-0043
[5] Navabi A, Iqbal M, Strenzke K, et al. The relationship between lodging and plant height in a diverse wheat population. Canadian Journal of Plant Science, 2006, 86(3):723-726.
[6] 谷敏. 小麦倒伏原因分析及预防措施. 特种经济动植物, 2021, 24(12):77-78.
[7] 万成, 李晓庆, 任兰天, 等. 小麦抗倒伏性能测定方法. 安徽科技学院学报, 2019, 33(3):22-27.
[8] 南铭, 王兴荣, 李晶, 等. 燕麦抗倒伏性状的基因型差异. 草业学报, 2023, 32(11):106-118.
doi: 10.11686/cyxb2023010
[9] 白羿雄, 姚晓华, 姚有华, 等. 青稞抗倒伏性状的基因型差异. 中国农业科学, 2019, 52(2):228-238.
doi: 10.3864/j.issn.0578-1752.2019.02.004
[10] 樊明, 张双喜, 魏亦勤, 等. 不同春小麦茎秆抗倒伏特性分析. 宁夏农林科技, 2022, 63(5):9-12.
[11] 李金才, 尹钧, 魏凤珍. 播种密度对冬小麦茎秆形态特征和抗倒指数的影响. 作物学报, 2005, 31(5):662-666.
[12] 马勇, 邵立刚, 王岩, 等. 倒伏对不同类型小麦品种(系)产量性状的影响研究. 安徽农学通报, 2008, 14(7):61,139.
[13] Khobra R, Sareen S, Meena B K, et al. Exploring the traits for lodging tolerance in wheat genotypes a review. Physiology and Molecular Biology of Plants, 2019, 25:589-600.
doi: 10.1007/s12298-018-0629-x pmid: 31168225
[14] 孟令志, 郭宪瑞, 刘宏伟, 等. 小麦抗倒性研究进展. 麦类作物学报, 2014, 34(12):1720-1722.
[15] 尹雪巍, 邵立刚, 车京玉, 等. 小麦倒伏原因及其抗倒伏性评价的研究进展. 黑龙江农业科学, 2020(4):127-129.
[16] 王勇, 李斯深, 李安飞, 等. 小麦种质抗倒性的评价和抗倒性状的相关与通径分析. 西北植物学报, 2000, 20(1):79-85.
[17] 次旦卓嘎, 赵爱宣, 刘倩倩, 等. 青稞茎秆形态特征与抗倒伏性的关系. 湖北农业科学, 2022, 61(8):24-28.
[18] 孟令志, 买春艳, 于立强, 等. 黄淮冬麦区部分小麦品种(系)抗倒伏相关性状分析. 麦类作物学报, 2016, 36(7):888-895.
[19] 董琦, 王爱萍, 梁素明. 小麦基部茎节形态结构特征与抗倒性的研究. 山西农业大学学报, 2003, 23(3):188-191.
[20] 李召锋, 黄润, 刘晓欢, 等. 新疆春小麦资源茎秆形态特征与抗倒性的关系. 西南农业学报, 2017, 30(4):717-721.
[21] 曹亚伟, 王健, 刘坤, 等. 30个冬小麦株高与产量的关系. 浙江农业科学, 2018, 59(7):1108-1110.
doi: 10.16178/j.issn.0528-9017.20180708
[22] 李前荣, 张东海, 崔凤娟, 等. 宁夏引黄灌区春小麦抗倒性研究. 麦类作物学报, 2022, 42(12):1457-1463.
[23] 杨飞, 马文礼, 陈永伟, 等. 匀播、滴灌对春小麦幼穗分化进程及产量的影响. 作物杂志, 2018(4):84-88.
[24] 蒋桂英, 魏建军, 刘萍, 等. 滴灌春小麦生长发育与水分利用效率的研究. 干旱地区农业研究, 2012, 30(6):50-54,73.
[25] 杨飞, 张战胜, 陈永伟, 等. 匀播滴灌对小麦分蘖消长规律及产量三要素的影响. 耕作与栽培, 2018(2):12-14.
[26] 李召锋, 黄润, 王竹琼, 等. 滴灌春小麦花后茎秆抗倒性变化. 江苏农业科学, 2017, 45(9):63-66.
[27] 路之娟, 张永清, 张楚, 等. 不同基因型苦荞苗期抗旱性综合评价及指标筛选. 中国农业科学, 2017, 50(17):3311-3322.
doi: 10.3864/j.issn.0578-1752.2017.17.006
[28] 胡继松, 彭伟正, 庞伯良, 等. 水稻抗倒伏性及评价指标体系研究进展. 湖南农业科学, 2011(13):41-44.
[29] 郜战宁, 杨永乾, 王树杰, 等. 143份大麦种质资源的综合评价. 作物杂志, 2023(5):59-65.
[30] 罗俊杰, 欧巧明, 叶春蕾, 等. 重要胡麻栽培品种的抗旱性综合评价及指标筛选. 作物学报, 2014, 40(7):1259-1273.
[31] 张培风, 孙佩, 徐鹏亮, 等. 102份玉米地方种质的茎基腐病抗性评价. 种子, 2023, 42(9):62-67.
[32] 曲可佳, 石晓磊, 张恒, 等. PEG处理下引进春小麦品种苗期抗旱性评价. 新疆农业科学, 2023, 60(6):1363-1371.
doi: 10.6048/j.issn.1001-4330.2023.06.008
[33] 王兴州, 时晓磊, 张恒, 等. 引进春小麦品种萌发期耐盐性鉴定及评价. 新疆农业科学, 2023, 60(6):1353-1362.
doi: 10.6048/j.issn.1001-4330.2023.06.007
[34] 宋桂成, 余桂红, 张鹏, 等. 不同小麦品种(系)拔节期耐渍性评价. 作物杂志, 2023(5):30-36.
[35] 宋月, 向达兵, 黄后兵, 等. 苦荞品种抗倒性鉴定及评价方法的研究. 作物杂志, 2017(6):65-71.
[36] 华泽田, 郝宪彬, 沈枫, 等. 东北地区超级杂交粳稻倒伏性状的研究. 沈阳农业大学学报, 2003, 34(3):161-164.
[37] 何懿. 6个水稻品种的倒伏指数分析及抗倒伏性评价. 农业科技通讯, 2023(6):96-101,106.
[38] 蒲定福, 周俊儒, 李邦发, 等. 根倒伏小麦抗倒性评价方法研究. 西北农业学报, 2000, 9(1):58-61.
[1] Pang Minxuan, Wang Han, Li Zhitao, Shi Ningfan, Pu Zhuanfang, Zhang Feng, Yao Panfeng, Bi Zhenzhen, Bai Jiangping, Sun Chao. Effects of Applying Diquat-Dibromide on Potato Quality under Different Watering Treatments [J]. Crops, 2024, 40(6): 132-139.
[2] Ma Lina, Wei Yuming, Wen Lifang, Zhang Xuejian, Yang Zhao, Huang Jie, Zhang Shengchang, Li Xiaoyu, Liu Huan, Yang Farong. Analysis of Agronomic Traits and Nutritional Quality of 22 Quinoa Germplasms in Yuanmou Area of Yunnan Province [J]. Crops, 2024, 40(6): 47-54.
[3] Yu Tao, Zhang Jianguo, Cao Jingsheng, Ma Xuena, He Chang’an, Cao Shiliang, Li Shujun, Cai Quan, Li Xin, Li Sinan, Yang Gengbin, Li Wenyue. Identification and Evaluation of Low Temperature Tolerance of 110 New Maize Materials at Germination Stage [J]. Crops, 2024, 40(5): 18-28.
[4] Lu Jiahui, Wang Shuang, Li Yun, Guo Zhenqing, Wang Jian, Han Yucui, Lin Xiaohu. Effects of Reduced Nitrogen Application on Nitrogen Utilization and Grain Quality in Different Organs of Spring Wheat [J]. Crops, 2024, 40(5): 220-227.
[5] Zhang Lili, Li Zhenyu, Chen Guanghong, Wang Shaolin, Xia Ming, Zheng Yingjie, Wang Ying, Wang Tong, Mao Ting, Yu Yahui. Analysis and Evaluation of Nutrient Composition of Special Rice Germplasm Resources Based on the Principal Component Analysis [J]. Crops, 2024, 40(5): 40-47.
[6] Li Lu, Yang Dan, Wang Suhua, Wan Guoan, Jiang Wan, Li Shuju, Zhang Shuguang, Li Bing. Stability Analysis and Adaptability Evaluation of Potato Cultivars in Winner Paddy Field [J]. Crops, 2024, 40(3): 47-53.
[7] Su Xiaoyu, Gao Tongmei, Zhang Pengyu, Li Feng, Wu Yin, Wang Dongyong, Tian Yuan, Wei Shuangling. Comprehensive Evaluation of Heat Resistance of Sesame Seedlings Based on Principal Component Analysis and Membership Function Method [J]. Crops, 2023, 39(4): 52-59.
[8] Wang Rongsheng, Mu Fengchen, Li Kun, Zhang Wei, Liu Hui, Ding Guohua, Yang Guang, Wang Nanbo, Zhang Guomin, Liu Yuming, Tao Yongqing. Comprehensive Analysis of Milling Quality and Eating Quality of Japonica Rice in Cold Region [J]. Crops, 2023, 39(2): 115-120.
[9] Guo Juxian, Huang Jiaxin, Li Guihua, Fu Mei, Luo Wenlong, Wang Jun, Lu Meilian. Volatiles Metabolites Analysis and Evaluation on Quality Traits of Different Tora Varieties [J]. Crops, 2022, 38(6): 167-173.
[10] Hui Chao, Yang Weijun, Deng Tianchi, Chen Yuxin, Song Shilong, Zhang Jinshan, Shi Shubing. Effects of Biochar Dosage on Accumulation and Transport of Dry Matter and Nitrogen and Yield of Spring Wheat in Irrigated Area [J]. Crops, 2022, 38(6): 201-207.
[11] Zhao Xiaoqin, Jia Ruiling, Liu Junxiu, Liu Yanming, Wen Yinhua, Shi Lili, Zhang Juanning, Ma Ning. Agronomic Traits and Genetic Diversity Analysis of 120 Foxtail Millet Germplasms [J]. Crops, 2022, 38(6): 61-69.
[12] Chang Haigang, Li Guang, Yuan Jianyu, Xie Mingjun, Qi Xiaoping. Effects of Different Fertilization Methods on Soil Nutrients and Yield of Spring Wheat in the Loess Hilly Region of Central Gansu Province [J]. Crops, 2022, 38(5): 160-166.
[13] Zhao Kang, Yang Tao, Wang Honggang, Li Shengmei, Pang Bo, Ma Shangjie, Gao Wenwei. Evaluation on Salt Tolerance of 42 Sea-Island Cotton (Gossypium barbadense) Varieties in Xinjiang during Germination Period [J]. Crops, 2022, 38(5): 27-33.
[14] Song Quanhao, Jin Yan, Song Jiajing, Chen Jie, Zhao Lishang, Bai Dong, Chen Liang, Zhu Tongquan. Comprehensive Evaluation of 35 Synthetic Hexaploid Wheat Cultivars [J]. Crops, 2022, 38(4): 69-76.
[15] Xiao Mingkun, Liu Guanghua, Song Jiming, Liu Qian, Duan Chunfang, Jiang Tailing, Zhang Linhui, Yan Wei, Shen Shaobin, Zhou Yingchun, Xiong Xiankun, Luo Xin, Bai Lina, Li Yuexian. Analysis of Agronomic Characteristics of Different Cassava Varieties (Lines) and Screening of High-Yielding Varieties (Lines) [J]. Crops, 2022, 38(4): 77-82.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!