Diversity and Adaptation of Currently Grown Wheat Landraces and Modern Germplasm in Afghanistan, Iran, and Turkey

Collection of wheat landraces (WLR) was conducted in Afghanistan, Iran, and Turkey in 2010–2014. A representative subset of this collection was used in the current study and included 45 bread wheat landraces from Turkey, 19 from Iran, and 20 from Afghanistan. This material was supplemented by 73 modern cultivars and breeding lines adapted to semiarid conditions and irrigated conditions. Overall, 157 genotypes were tested in Turkey in 2018 and 2019 and in Afghanistan and Iran in 2019 under rainfed conditions to compare performance of WLR and modern material. The germplasm was genotyped using a high density Illumina Infinium 25K wheat SNP array and KASP markers for agronomic traits. The average grain yield ranged between 2.2 and 4.0 t/ha depending on the site and year. Three groups of landraces demonstrated similar average grain yield, though Afghanistan material was slightly higher yielding not only in Afghanistan but also in Turkey. Modern material outyielded the landraces in two environments out of four. The highest yielding landraces were competitive with the best modern germplasm. Frequency of gene Sus2-2B affecting 1000 kernel weight was 64% in WLR and only 3% in modern material. Presence of positive allele of Sus2-2B increased 1000 kernel weight by nearly 4%. Breeding strategy to improved landraces and modern cultivars is discussed.

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Yield performance with heritability measurements of half sib families obtained from maize variety Azam

Journal of Experimental Sciences ◽

10.25081/jes.2017.v8.3435 ◽

1970 ◽

pp. 33-36

Author(s):

Faizan Mahmood, Hidayat- Ur-Rahman, Nazir Ahmad ◽

Fahim-ul- Haq ◽

Samrin Gul, Quaid Hussain ◽

Ammara Khalid ◽

Touheed Iqbal ◽

...

Keyword(s):

Grain Yield ◽

Agronomic Traits ◽

Heritability Estimate ◽

Kernel Weight ◽

Yield Performance ◽

Grain Moisture ◽

Maize Variety ◽

Ear Height ◽

Sib Families

This study evaluated the performance of 64 half sib families (HSF) derived from “Azam” variety of maize using partially balanced lattice square design with two replications. Data were recorded on grain yield and other agronomic traits. Observations showed difference in half-sib families for studied traits. Among the 64 half-sib families, minimum days to 50% tasseling (51 days) were observed for HS-49 while maximum (57 days) for HS-63. Minimum days to 50% silking (56 days) were counted for HS-6 while maximum (63 days) for HS-23. Minimum days to 50% anthesis (55 days) were counted for HS-1 and HS-6 while maximum (62 days) for HS-23. Similarly, minimum ASI (-2 days) were observed in HS-1, HS-15, HS-16, HS-28 and HS-63 while maximum (2 days) in HS-48. Minimum (60 cm) ear height was recorded for HS-11 and maximum (93.5 cm) for HS-28. Minimum fresh ear weight (1.3 kg) was weighted for HS-17 while maximum (3.2 kg) for HS-21. Grain moisture was recorded minimum (19.35 %) for HS-19 and maximum (31.25%) for HS-2. HS-42 showed minimum (28 g) 100 kernel weight while HS-5 showed maximum (47 g). Grain yield was minimum (2323 kg ha-1) for HS-17 and maximum (5742 kg ha-1) for HS-21. Maximum heritability estimate (0.92) was recorded for fresh ear weight, while minimum (0.41) was observed for ear height.

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Stability Analysis of Agronomic Traits for Maize (Zea Mays L.) Genotypes Based on Ammi Model

Bangladesh Journal of Botany ◽

10.3329/bjb.v50i2.54091 ◽

2021 ◽

Vol 50 (2) ◽

pp. 343-350

Author(s):

Meijin Ye ◽

Zhaoyang Chen ◽

Bingbing Liu ◽

Haiwang Yue

Keyword(s):

Grain Yield ◽

Agronomic Traits ◽

Interaction Model ◽

Genotype By Environment Interaction ◽

Kernel Weight ◽

Environment Interaction ◽

Maize Hybrids ◽

Genotype By Environment ◽

Ammi Model ◽

The Ideal

Stability and adaptability of promising maize hybrids in terms of three agronomic traits (grain yield, ear weight and 100-kernel weight) in multi-environments trials were evaluated. The analysis of AMMI model indicated that the all three agronomic traits showed highly significant differences (p < 0.01) on genotype, environment and genotype by environment interaction. Results showed that genotypes Hengyu321 (G9), Yufeng303 (G10) and Huanong138 (G3) were of higher stability on grain yield, ear weight and 100-kernel weight, respectively. Genotypes Hengyu1587 (G8) and Hengyu321 (G9) showed good performance in terms of grain yield, whereas Longping208 (G2) and Weike966 (G12) showed broad adaptability for ear weight. It was also found that the genotypes with better adaptability in terms of 100-kernel weight were Zhengdan958 (G5) and Weike966 (G12). The genotype and environment interaction model based on AMMI analysis indicated that Hengyu1587 and Hengyu321 were the ideal genotypes, due to extensive adaptability and high grain yield under both testing sites. Bangladesh J. Bot. 50(2): 343-350, 2021 (June)

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Identification of quantitative trait loci for kernel traits in a wheat cultivar Chuannong16

BMC Genetics ◽

10.1186/s12863-019-0782-4 ◽

2019 ◽

Vol 20 (1) ◽

Cited By ~ 10

Author(s):

Jian Ma ◽

Han Zhang ◽

Shuiqin Li ◽

Yaya Zou ◽

Ting Li ◽

...

Keyword(s):

Genetic Map ◽

Quantitative Trait ◽

Agronomic Traits ◽

Snp Array ◽

Kernel Weight ◽

Phenotypic Variance ◽

Kernel Length ◽

Kasp Marker ◽

Kernel Traits ◽

Major Qtl

Abstract Background Kernel length (KL), kernel width (KW) and thousand-kernel weight (TKW) are key agronomic traits in wheat breeding. Chuannong16 (‘CN16’) is a commercial cultivar with significantly longer kernels than the line ‘20828’. To identify and characterize potential alleles from CN16 controlling KL, the previously developed recombinant inbred line (RIL) population derived from the cross ‘20828’ × ‘CN16’ and the genetic map constructed by the Wheat55K SNP array and SSR markers were used to perform quantitative trait locus/loci (QTL) analyses for kernel traits. Results A total of 11 putative QTL associated with kernel traits were identified and they were located on chromosomes 1A (2 QTL), 2B (2 QTL), 2D (3 QTL), 3D, 4A, 6A, and 7A, respectively. Among them, three major QTL, QKL.sicau-2D, QKW.sicau-2D and QTKW.sicau-2D, controlling KL, KW and TKW, respectively, were detected in three different environments. Respectively, they explained 10.88–18.85%, 17.21–21.49% and 10.01–23.20% of the phenotypic variance. Further, they were genetically mapped in the same interval on chromosome 2DS. A previously developed kompetitive allele-specific PCR (KASP) marker KASP-AX-94721936 was integrated in the genetic map and QTL re-mapping finally located the three major QTL in a 1- cM region flanked by AX-111096297 and KASP-AX-94721936. Another two co-located QTL intervals for KL and TKW were also identified. A few predicted genes involved in regulation of kernel growth and development were identified in the intervals of these identified QTL. Significant relationships between kernel traits and spikelet number per spike and anthesis date were detected and discussed. Conclusions Three major and stably expressed QTL associated with KL, KW, and TKW were identified. A KASP marker tightly linked to these three major QTL was integrated. These findings provide information for subsequent fine mapping and cloning the three co-localized major QTL for kernel traits.

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Evaluation of agronomic traits and assessment of genetic variability in some popular wheat genotypes cultivated in Saudi Arabia

Australian Journal of Crop Science ◽

10.21475/ajcs.19.13.06.p1329 ◽

2019 ◽

pp. 847-856 ◽

Cited By ~ 1

Author(s):

Soleman M. Al-Otayk

Keyword(s):

Grain Yield ◽

Durum Wheat ◽

Plant Height ◽

Bread Wheat ◽

Coefficient Of Variation ◽

Agronomic Traits ◽

Kernel Weight ◽

Wheat Genotypes ◽

Days To Heading ◽

Days To Maturity

The present study was carried out to evaluate agronomic traits and assessment of genetic variability of some wheat genotypes at Qassim region, Saudi Arabia', during 2010/11 and2011/12 seasons. Fourteen wheat genotypes including five bread wheat and nine durum wheat genotypes were evaluated in randomized complete block design with three replications. The genotypes were evaluated for ten different yield contributing characters viz., days to heading, days to maturity, grain filling period, grain filling rate, plant height, number of spikes m-2, kernels spike-1, 1000-kernel weight, grain yield and straw yield. The combined analysis of variance indicated the presence of significant differences between years for most characters. The genotypes exhibited significant variation for all the characters studied indicating considerable amount of variation among genotypes for each character. Maximum coefficient of variation was observed for number of spikes m-2 (17%), while minimum value was found for days to maturity. Four genotypes produced maximum grain yield and statistically similar, out of them two bread wheat genotypes (AC-3 and SD12) and the other two were durum wheat (AC-5 and BS-1). The genotypes AC-3, AC-5 and BS-1 had higher grain yield and stable in performance across seasons. The estimation of phenotypic coefficient of variation in all the traits studied was greater than those of the genotypic coefficient of variation. High heritability estimates (> 0.5) were observed for days to heading, days to maturity, and plant height, while the other characters recorded low to moderate heritability. The high GA % for plant height and days to heading (day) was accompanied by high heritability estimates, which indicated that heritability is mainly due to genetic variance. Comparatively high expected genetic advances were observed for grain yield components such as number of kernels spike-1 and 1000-kernel weight. Grain yield had the low heritability estimate with a relatively intermediate value for expected genetic advance. The results of principle component analysis (PCA) indicated that the superior durum wheat genotypes for grain yield in the two seasons (AC-5 and BS-1) are clustered in group II (Fig. 2). Also, the superior two bread wheat genotypes (AC-3 and SD12) were in group I. Therefore, it could be future breeding program to develop new high yielding genotypes in bread and durum wheat.

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Evaluation and Use of Genetic Resources in Spring Malting Barley Breeding in Lithuania

Proceedings of the Latvian Academy of Sciences Section B Natural Exact and Applied Sciences ◽

10.2478/v10046-009-0017-6 ◽

2009 ◽

Vol 63 (1-2) ◽

pp. 57-62

Author(s):

Algė Leistrumaitė ◽

Vanda Paplauskienė ◽

Audronė Mašauskienė

Keyword(s):

Grain Yield ◽

Genetic Resources ◽

Agronomic Traits ◽

Spring Barley ◽

Weather Conditions ◽

Malting Barley ◽

Breeding Lines ◽

Barley Breeding ◽

Extract Yield ◽

Growing Conditions

Evaluation and Use of Genetic Resources in Spring Malting Barley Breeding in Lithuania During the period 2004-2006, grain yield stability and malt quality characteristics of 47 spring barley varieties and 55 promising breeding lines from the collection of spring barley genetic resources were investigated at the Lithuanian Institute of Agriculture (LIA). The growing conditions in 2004 were fairly normal compared with the long-term mean, and the years 2005 and 2006 were rather dry. The varieties and breeding lines tested showed from medium to high variation of grain > 2.5 mm yield (CV 11.5-34.3%) and medium variation of grain yield (CV 4.39-13.33%). However, high temperatures and drought in June of 2006 caused a low grain > 2.5 mm yield (by on average 55.0-67.8%). Promising breeding lines were characterised as having higher grain yield and extract output per ha compared with barley varieties. However, the data showed that grain grading 2.5 mm should be improved for the breeding lines. Using the software STABLE we estimated the stability of malting barley quality traits in relation to weather conditions during the crop year, genotype properties for varieties and breeding lines, as well as the interactions of variety and weather conditions. The selection of lines promising in terms of grain yield, > 2.5 mm grain yield and extract yield, was based on their ability to realise the genetic potential in various growing conditions. The highest score in integral assessment of grain yield, grain > 2.5 mm yield and extract yield was identified for the varieties Tocada', Sebastian', Scarlett' and breeding lines: 7939-1, 7661-1, and 8080-4. The varieties and breeding lines that exhibited high grain stability, high grain quality and other agronomic traits were utilised in further breeding programmes.

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Performance of Large Seeded Faba Bean Genotypes for Yield and Related Agronomic Traits in Different Parts of Ethiopia

East African Journal of Agriculture and Biotechnology ◽

10.37284/eajab.4.1.486 ◽

2021 ◽

Vol 4 (1) ◽

pp. 1-11

Author(s):

Mesfin Tadele ◽

Mussa Jarso ◽

Sisay Argaye ◽

Asnakech Tekalign ◽

Nigat Tilahun ◽

...

Keyword(s):

Disease Resistance ◽

Grain Yield ◽

Seed Size ◽

Faba Bean ◽

Agronomic Traits ◽

Block Design ◽

Commercial Production ◽

Breeding Lines ◽

Rust Diseases ◽

Cropping Seasons

Faba bean (Vicia faba L.) is a high value crop in Ethiopia and has versatile uses. The national faba bean breeding program concentrates on the three major traits (grain yield, disease resistance and seed size) of the crop for varietal release for commercial production. Hence, ten faba bean genotypes were evaluated at Adet, Areka, Bekoji, Haramaya, Holetta and Jimma during the main cropping seasons of 2018 and 2019 using a randomized complete block design with four replications with the objectives to select the genotype with best performance in terms of important agronomic traits like grain yield, disease resistance, large seed size and other desirable agronomic traits for high potential production areas in Ethiopia. The combined analysis of variance across locations revealed that there is highly significant (P < 0.01) variation among the tested genotypes for grain yield, 1000-seeds weight, number of pods per plant, and days to 90% physiological maturity. The genotype EH011089-3 showed better performance than the tested genotypes having comparable grain yield performance (3803 kgha-1) with the two standard checks, Numan and Gora (3790 and 3897 kgha-1, respectively) while it had the highest 1000-seeds weight (1065 g) compared to the two standard checks, Numan and Gora (937 g and 786 g, respectively), i.e., 13.7% and 35.5% advantage, over the two standard checks, respectively. Additionally, EH011089-3 had better resistance for chocolate spot and rust diseases. Therefore, EH011089-3 was the best over the tested varieties and breeding lines. Genotype EH011089-3 is recommended for varietal release for commercial production all over in Ethiopia.

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Analysis of Some Agronomic Traits of Durum Wheat Under Dryland and Supplemental Irrigation Conditions

Agriculture (Pol nohospodárstvo) ◽

10.1515/agri-2015-0004 ◽

2014 ◽

Vol 60 (4) ◽

pp. 149-158

Author(s):

Gohar Afrooz ◽

Naser Sabaghnia ◽

Rahmatollah Karimizadeh ◽

Fariborz Shekari

Keyword(s):

Grain Yield ◽

Durum Wheat ◽

Agronomic Traits ◽

Kernel Weight ◽

Test Weight ◽

Selection Strategy ◽

Stressed Condition ◽

Supplemental Irrigation ◽

Physiological Maturity ◽

Peduncle Length

Abstract Knowledge about the extent of variability and the association among traits are of a high value for any breeding efforts. The objective of this investigation is to evaluate the agro-morphological traits in a set of durum wheat genotypes under supplemental irrigation and dry land conditions. Results showed that principal component (PC) analysis had grouped the measured traits into four main components that altogether accounted for 77% of the total variation under non-stressed condition and 87% under water-stressed condition. With regard to the first four PCs, peduncle length, agronomic score, grain yield, vigority, test weight, days to physiological maturity and thousand kernel weight have shown to be the most important variables affecting the performance of durum wheat under non-stressed condition. In the first four PCs at the water- stressed condition, agronomic score, grain yield, vigority, days to physiological maturity, test weight and peduncle length have been shown to be the important variables under water-stressed condition. The results of factor analysis relatively confirmed the results of PC analysis. Our findings indicated that a selection strategy should take into consideration of agronomic score and days to physiological maturity under non-stressed condition while plant height and spike length under water-stressed condition. Therefore, the above-mentioned traits could be used as indirect selection criteria for genetic improvement of grain yield in durum wheat, especially in early generations of breeding programmes

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Multi-Trait Multi-Environment Genomic Prediction of Agronomic Traits in Advanced Breeding Lines of Winter Wheat

Frontiers in Plant Science ◽

10.3389/fpls.2021.709545 ◽

2021 ◽

Vol 12 ◽

Author(s):

Harsimardeep S. Gill ◽

Jyotirmoy Halder ◽

Jinfeng Zhang ◽

Navreet K. Brar ◽

Teerath S. Rai ◽

...

Keyword(s):

Winter Wheat ◽

Grain Yield ◽

Genomic Prediction ◽

Complex Traits ◽

Agronomic Traits ◽

Wheat Breeding ◽

Successful Implementation ◽

Limited Information ◽

Multiple Traits ◽

Breeding Lines

Genomic prediction is a promising approach for accelerating the genetic gain of complex traits in wheat breeding. However, increasing the prediction accuracy (PA) of genomic prediction (GP) models remains a challenge in the successful implementation of this approach. Multivariate models have shown promise when evaluated using diverse panels of unrelated accessions; however, limited information is available on their performance in advanced breeding trials. Here, we used multivariate GP models to predict multiple agronomic traits using 314 advanced and elite breeding lines of winter wheat evaluated in 10 site-year environments. We evaluated a multi-trait (MT) model with two cross-validation schemes representing different breeding scenarios (CV1, prediction of completely unphenotyped lines; and CV2, prediction of partially phenotyped lines for correlated traits). Moreover, extensive data from multi-environment trials (METs) were used to cross-validate a Bayesian multi-trait multi-environment (MTME) model that integrates the analysis of multiple-traits, such as G × E interaction. The MT-CV2 model outperformed all the other models for predicting grain yield with significant improvement in PA over the single-trait (ST-CV1) model. The MTME model performed better for all traits, with average improvement over the ST-CV1 reaching up to 19, 71, 17, 48, and 51% for grain yield, grain protein content, test weight, plant height, and days to heading, respectively. Overall, the empirical analyses elucidate the potential of both the MT-CV2 and MTME models when advanced breeding lines are used as a training population to predict related preliminary breeding lines. Further, we evaluated the practical application of the MTME model in the breeding program to reduce phenotyping cost using a sparse testing design. This showed that complementing METs with GP can substantially enhance resource efficiency. Our results demonstrate that multivariate GS models have a great potential in implementing GS in breeding programs.

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Evaluation of salt stress of Iranian wheat germplasm under field conditions

Crop and Pasture Science ◽

10.1071/cp14286 ◽

2015 ◽

Vol 66 (8) ◽

pp. 770 ◽

Cited By ~ 4

Author(s):

Omid Ali Akbarpour ◽

Hamid Dehghani ◽

Mohammad Javad Rousta

Keyword(s):

Grain Yield ◽

Negative Correlation ◽

Crop Production ◽

Agronomic Traits ◽

Kernel Weight ◽

Broad Sense ◽

Field Conditions ◽

Broad Sense Heritability ◽

Breeding Programs ◽

Wheat Germplasm

Salinity is one of the most serious problems of crop production worldwide. In this research, a set of different wheat landraces with high diversity collected throughout Iran, advanced lines in breeding programs, and some well-known tolerant and sensitive cultivars were used to estimate genetic parameters of agronomic traits by using the restricted maximum likelihood (REML) approach. The results showed that several genotypes such as BUMI8, Salt18, BUMI1, Check cultivar and Salt25 had no reduction in grain yield under saline conditions compared with normal conditions. Minimum reductions in grain yield were related to BUMI6, Roshan and Shahpasand genotypes. High broad-sense heritability for most traits showed that they could be used to select and improve the salt tolerance of wheat germplasm in breeding programs. Grain yield had high broad-sense heritability under normal (H2b = 0.61) and saline (H2b = 0.55) conditions. Traits related to height and number of spikes per plant showed a positive correlation with grain yield. Time to heading and to maturity showed negative correlation with grain yield. Number of kernels per spike, kernel weight per spike, number of spikes per plant and spike weight showed positive correlations with grain yield under saline conditions. A significantly negative correlation was also seen between grain yield and days to heading or days to maturity under saline conditions. High variation and moderate to high heritabilities of yield and yield components in normal and salt-stressed field conditions for Iranian bread wheat germplasm are promising to enhance the narrow genetic pool of salinity tolerance.

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Breeding barley for quality in Turkey

Genetika ◽

10.2298/gensr1601173k ◽

2016 ◽

Vol 48 (1) ◽

pp. 173-186

Author(s):

Yuksel Kaya ◽

Ramazan Ayranci

Keyword(s):

Grain Yield ◽

Kernel Weight ◽

Quality Traits ◽

Acid Detergent Fiber ◽

Hordeum Vulgare L ◽

Breeding Lines ◽

Acceptable Quality ◽

Selection For ◽

Cropping Seasons ◽

Physical Features

We evaluated a total of 411 genotypes, including 334 breeding lines with 77 checks from Barley (Hordeum vulgare L.) Breeding Program of Turkey (BBPT), based upon their grain yield (GY) and quality traits (namely protein content-PC, acid detergent fiber-ADF, thousand kernel weight-TKW, kernel size-KS and test weight-TW), during the 5 consecutive cropping seasons, from 2007-2008 to 2011-2012. Broad-sense heritability (H) values for quality traits were moderate (0.57-0.65), while it was low (0.43) for grain yield. Accordingly, grain physical features (namely TW, KS and TKW) were positively significantly correlated with GY, but negatively significantly correlated with PC. Results of our study showed that selection for GY and quality traits was less efficient than we expected, due to undesirable multi-variate correlations such as GY vs PC and low to moderate H values. Therefore, we tried to put suggestions forward to the BBPT, by following discussing about our ability to select for high GY and acceptable quality in barley.

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