scholarly journals Evaluation of Drought Tolerance in Maize Inbred Lines Selected from the Shaan A Group and Shaan B Group

Agriculture ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 11
Author(s):  
Yonghui Lao ◽  
Yuan Dong ◽  
Yaqin Shi ◽  
Yahui Wang ◽  
Shutu Xu ◽  
...  
Keyword(s):  
Drought Tolerance ◽  
Drought Resistance ◽  
Principal Component ◽  
Inbred Lines ◽  
High Yield ◽  
Maize Inbred Lines ◽  
Breeding Populations ◽  
Group Breeding ◽  
Maize Varieties ◽  
Drought Resistant

Drought is one of the most prevailing abiotic stresses affecting the growth, development, and productivity of maize. Knowledge of drought tolerance could help in maize improvement. However, less research has been done to comprehensively evaluate the drought tolerance of maize inbred lines. We used 27 elite maize inbred lines selected from Shaan A group and Shaan B group breeding populations to estimate their drought tolerance in 3 years 2 locations under normal field conditions and low irrigation. Using principal component analysis (PCA) and GGE biplots, all inbred lines, including the controls, could be divided into four types. Ten lines could be categorized as the high-yield drought-resistant type (‘KB081’, ‘KA105’, ‘KB417’, ‘KB215’, ‘KB-7’, ‘2013KB-37’, ‘KA203’, ‘2012KA-34’, ‘KA225’, and ‘91227’) because of their stability and wide adaptability. Compared with the controls, a large proportion of the inbred lines selected from Shaan A and Shaan B breeding populations demonstrated higher drought resistance. Our results suggest that multi-year drought screening can be used as a tool to improve the drought resistance of maize inbred lines and provide a scientific basis for making better use of the Shaan A and Shaan B maize inbred lines to breed new varieties and to identify existing drought-resistant maize varieties.

scholarly journals Evaluation of Yield-Based Low Nitrogen Tolerance Indices for Screening Maize (Zea mays L.) Inbred Lines

Agronomy ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. 240 ◽  
Author(s):  
Zhixin Zhao ◽  
Kunhui He ◽  
Zhiqian Feng ◽  
Yanan Li ◽  
Liguo Chang ◽  
...  
Keyword(s):  
Grain Yield ◽  
Geometric Mean ◽  
Inbred Lines ◽  
Shaanxi Province ◽  
High Yield ◽  
Tolerance Index ◽  
Heterotic Groups ◽  
Maize Inbred Lines ◽  
Low Nitrogen Tolerance ◽  
Low Nitrogen

To screen the desired criterion to identify desirable genotypes and select genotypes best suited to limited nitrogen availability in order to facilitate the practice of low-nitrogen-tolerant breeding in maize, the response of 31 maize inbred lines, containing four control inbred lines (PH6WC, PH4CV, Zheng58, and Chang7-2) and others selected from the Shaan A and Shaan B heterotic groups cultivated at Northwest A&F University (Yangling, Shaanxi, China), were evaluated. The experiment was conducted following a split plot design with two replications during three growing seasons (2015, 2016, and 2017) under both high nitrogen (HN) and low nitrogen (LN) conditions at the Yulin and Yangling in Shaanxi Province, China. Seven screening indices, based on grain yield under two contrasting nitrogen (N) conditions, the stress susceptibility index (SSI), yield stability index (YSI), mean productivity (MP), geometric mean productivity (GMP), stress tolerance index (STI), harmonic mean (HM), and low nitrogen tolerance index (LNTI), were computed to assess the overall index that accurately screened the desirable genotypes. The results of the correlation analyses and principal component analysis showed that MP, GMP, HM and STI were correlated with grain yield significantly and positively under contrasting N conditions, and were able to accurately discriminate the desirable genotypes. Compared with the control inbred lines, many inbred lines selected from the Shaan A and Shaan B groups showed a higher LN tolerance. This shows that we can effectively improve the LN tolerance of maize inbred lines through LN screening. Based on the screening indices, the three-dimensional diagram and genotype and genotype × environment (GGE) biplots are agreed with this results, and we identified KA105, KB081, KA225, 91227, and 2013KB-47 as the desired genotypes that have the potential to be used to breed a high yield and stable hybrid.

Study and evaluation of drought resistance of different genotype maize inbred lines

2008 ◽  
Vol 2 (4) ◽  
pp. 428-434 ◽  
Author(s):  
Weixing Zhang ◽  
Zhi Zhao ◽  
Guangxiao Bai ◽  
Fangjing Fu
Keyword(s):  
Drought Resistance ◽  
Inbred Lines ◽  
Maize Inbred Lines

Genetic analysis of drought tolerance in adapted × exotic crosses of maize inbred lines under managed stress conditions

Euphytica ◽  
2013 ◽  
Vol 196 (2) ◽  
pp. 261-270 ◽  
Author(s):  
M. A. Adebayo ◽  
A. Menkir ◽  
E. Blay ◽  
V. Gracen ◽  
E. Danquah ◽  
...  
Keyword(s):  
Drought Tolerance ◽  
Genetic Analysis ◽  
Inbred Lines ◽  
Stress Conditions ◽  
Maize Inbred Lines

scholarly journals Agronomic and molecular evaluation of maize inbred lines for drought tolerance

2016 ◽  
Vol 14 (4) ◽  
pp. e0711 ◽  
Author(s):  
Sanja Mikić ◽  
Miroslav Zorić ◽  
Dušan Stanisavljević ◽  
Ankica Kondić-Špika ◽  
Ljiljana Brbaklić ◽  
...  
Keyword(s):  
Drought Tolerance ◽  
Grain Yield ◽  
Maize Yield ◽  
Field Trials ◽  
Inbred Lines ◽  
Partial Least Square ◽  
Least Square ◽  
Maize Breeding ◽  
Heterotic Groups ◽  
Maize Inbred Lines

Drought is a severe threat to maize yield stability in Serbia and other temperate Southeast European countries occurring occasionally but with significant yield losses. The development of resilient genotypes that perform well under drought is one of the main focuses of maize breeding programmes. To test the tolerance of newly developed elite maize inbred lines to drought stress, field trials for grain yield performance and anthesis silk interval (ASI) were set in drought stressed environments in 2011 and 2012. Inbred lines performing well under drought, clustered into a group with short ASI and a smaller group with long ASI, were considered as a potential source for tolerance. The former contained inbreds from different heterotic groups and with a proportion of local germplasm. The latter consisted of genotypes with mixed exotic and Lancaster germplasm, which performed better in more drought-affected environments. Three inbreds were selected for their potential drought tolerance, showing an above-average yield and small ASI in all environments. Association analysis indicated significant correlations between ASI and grain yield and three microsatellites (bnlg1525, bnlg238 and umc1025). Eight alleles were selected for their favourable concurrent effect on yield increase and ASI decrease. The proportion of phenotypic variation explained by the markers varied across environments from 5.7% to 22.4% and from 4.6% to 8.1% for ASI and yield, respectively. The alleles with strongest effect on performance of particular genotypes and their interactions in specific environments were identified by the mean of partial least square interactions analysis indicating potential suitability of the makers for tolerant genotype selection.

scholarly journals Combining Ability Study for Grain Yield and Agronomic Traits of Quality Protein Maize (Zea mays L.) Inbred Lines Adapted to Mid-Altitude Agroecology of Ethiopia

2021 ◽  
Vol 4 (3) ◽  
pp. 286-304
Author(s):  
Lemi Mideksa Yadesa ◽  
Sentayehu Alamerew ◽  
Berhanu Tadesse
Keyword(s):  
Grain Yield ◽  
Combining Ability ◽  
Agronomic Traits ◽  
Inbred Lines ◽  
Quality Protein Maize ◽  
Lattice Design ◽  
Maize Cultivars ◽  
Maize Inbred Lines ◽  
Maize Varieties ◽  
Almost All

In spite of the importance of quality protein maize to alleviate protein deficiency, almost all maize varieties cultivated in Ethiopia are normal maize varieties, which are devoid of lysine and tryptophan. Perusing the combining ability of QPM inbred for grain yield and its components is vital to design appropriate breeding strategies for the development of nutritionally enhanced maize cultivars. A line x tester analysis involving 36 crosses generated by crossing 9  elite maize inbred lines with 4 testers were evaluated for different desirable agronomic traits during the 2019 main season at BNMRC and JARC. The experiment was conducted using alpha lattice design with 3 replications. The objectives were to determine the combining ability of quality protein maize inbred lines, adapted to mid altitude agroecology of Ethiopia for agronomic traits. The crosses were evaluated in alpha lattice design replicated 3 times. Analyses of variances showed significant mean squares due to crosses for almost all the traits studied. GCA mean squares due to lines and testers were significant (P<0.05 or P<0.01) for most studied traits. SCA mean squares were also significant for most attributes across locations. The comparative importance of GCA and SCA variances observed in the current study for most studied traits indicated the preponderance of additive genetic variance in governing these attributes. Only L3 was the best general combiner for grain yield. Inbred line L3, for days to anthesis and L5 for days to silking had negative and significant GCA effects. L5 and L6 displayed negative and significant GCA effects for plant and ear height. Crosses, L2xT4, L3xT4, L4xT4, L5xT2, L6xT3, L7xT2, L9xT1 and L9xT4 were good specific combiners for grain yield. In general, these genotypes help as a source of promising alleles that could be used for forthcoming breeding work in the development of quality protein maize cultivars with desirable traits.

scholarly journals Molecular Predicting Drought Tolerance in Maize Inbred Lines by Machine Learning Approaches

2019 ◽  
Keyword(s):  
Machine Learning ◽  
Drought Tolerance ◽  
New Technologies ◽  
Inbred Lines ◽  
Attribute Selection ◽  
Classification Algorithms ◽  
Learning Approaches ◽  
Maize Inbred Lines ◽  
Ssr Loci ◽  
Speed Up

Drought is one of the prime abiotic stresses in the world. Now, amongst the new technologies available for speed up the releasing of new drought tolerance genotypes, there is an emanate discipline called machine learning. The study presents Machine Learning for identification, classification and prediction of drought tolerance maize inbred lines based on SSR genetic markers datasets generated from PCR reactions. A total of 356 SSR reproducible fragment alleles were detected across the 71 polymorphic SSR loci. A dataset of 12 inbred lines with these fragments prepared as attributes and was imported into RapidMiner software. After removal of duplicates, useless and correlated features, 311 feature attributes were polymorphic, ranging in size from 1500 to 3500 bp. The most important attribute fragment alleles in different attribute weighting selected. Ten datasets created using attribute selection (weighting) algorithms. Different classification algorithms were applied on datasets. These can be used to identify groups of alleles with similar patterns of expression, and are able to create some models that have been applied successfully in the prediction, classification and pattern recognition in drought stress. Some unsupervised models were able to differentiate tolerant inbred lines from susceptible. Four unsupervised models were able to produce the different decision trees with root and leaves. The most important attribute alleles almost in all of models were phi033a3, bnlg1347a1 and bnlg172a2 respectively, that can help to identify tolerant maize inbred lines with high precision.

Relationship between Leaf Photosynthetic Parameters and Drought Resistance at Silking Stage in Maize Inbred Lines

2014 ◽  
Vol 40 (9) ◽  
pp. 1667
Author(s):  
Chun-Mei CHEN ◽  
Ju-Lin GAO ◽  
Zhi-Jun SU ◽  
Xiao-Fang YU ◽  
Shu-Ping HU ◽  
...  
Keyword(s):  
Drought Resistance ◽  
Inbred Lines ◽  
Photosynthetic Parameters ◽  
Maize Inbred Lines
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