scholarly journals Analysis for grain yield and some quality traits in Bulgarian bread wheat (Triticum Aestivum L.)

2021 ◽  
Vol 13 (29) ◽  
pp. 12-21
Author(s):  
Galina Mihova ◽  
Keyword(s):  
Grain Yield ◽  
Field Experiments ◽  
Triticum Aestivum L ◽  
Kernel Weight ◽  
Climatic Conditions ◽  
Environment Interaction ◽  
Wheat Genotypes ◽  
High Productivity ◽  
Hybrid Plants ◽  
Increased Strength

A major priority of the breeding programs is the development of varieties and hybrid plants combining high productivity and a level of qualitative parameters. Equally topical is the problem of achieving their stable level of expression under uncertain climatic environments. Within three vegetative growth periods (2018, 2019 and 2020) characterized with different levels of abiotic stress, 20 varieties of common winter wheat were investigated. The criteria for setting up of the working collection were the genotypes to be included in the Varietal List of Republic of Bulgaria and to cover the groups’ quality levels. The trials were carried out at two locations: the Institute of Agriculture – Karnobat and Dobrudzha Agricultural Institute – General Toshevo. These regions have specific soil and climatic conditions and are characterized with different risk factors for the development of the cereal crops. The variance analysis showed that the environmental conditions had a significant percent in the total variation of grain yield, the number of productive tillers, 1000 kernel weight and test weight. Concerning these traits, a genotype x environment interaction was also established. The cultivars with high mean yield from the two locations were Rada, Kristalina, Kalina, Katarzhina and Bozhana. The correlation between productivity and quality was successfully broken in Lazarka, Pchelina and Merilin, which belong to the group of strong wheat genotypes. Under the specific technology for conducting the field experiments we used, cultivars Pchelina and Merilin from group A were with expectedly high levels of wet gluten content and W index. The values determined for Lazarka were lower but less variable. In the group of medium wheat genotypes with increased strength, worth mentioning are Enola, Kristalina, Rada and Katarzhina.

scholarly journals Biometric Analyses of Yield, Oil and Protein Contents of Wheat (Triticum aestivum L.) Genotypes in Different Environments

Agronomy ◽  
2019 ◽  
Vol 9 (6) ◽  
pp. 270 ◽  
Author(s):  
Ankica Kondić-Špika ◽  
Novica Mladenov ◽  
Nada Grahovac ◽  
Miroslav Zorić ◽  
Sanja Mikić ◽  
...  
Keyword(s):  
Grain Yield ◽  
Protein Content ◽  
Oil Content ◽  
Significant Positive Correlation ◽  
Field Experiments ◽  
Triticum Aestivum L ◽  
Climatic Conditions ◽  
Partial Least Square ◽  
Least Square ◽  
Partial Least Square Regression

The objectives of this study were to investigate: (1) the effects of genotype, environment, and their interactions on the oil content (OC), protein content (PC) and grain yield (GY) of 25 varieties of winter wheat, (2) the correlations among these traits in different environments, and (3) the effects of different climatic variables and their interactions with wheat genotypes for the examined traits. The field experiments were performed on three experimental sites in Serbia in 2009/10 and 2010/11. The most variable traits were GY and PC, while the variations of OC were lower. A significant positive correlation between wheat bran OC and GY was found in one, while highly significant negative correlations between PC and GY were found in three out of six environments. The partial least square regression (PLSR) triplots for protein content, oil content and grain yield enabled us to identify favorable and limiting climatic conditions for each trait and explained 31.9%, 32.6%, and 30.4% of the total variance, respectively. Cvs. Renesansa and Zvezdana were identified as genotypes with high average values for all traits, while cvs. Bankuty 1205 and Banatka were identified as potential sources of high protein content.

scholarly journals Genotype × Environment Interaction for Wheat Yield Traits Suitable for Selection in Different Seed Priming Conditions

Plants ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 1804
Author(s):  
Vera Popović ◽  
Nataša Ljubičić ◽  
Marko Kostić ◽  
Mirjana Radulović ◽  
Dragana Blagojević ◽  
...  
Keyword(s):  
Grain Yield ◽  
Wheat Yield ◽  
Seed Priming ◽  
Triticum Aestivum L ◽  
Complex Nature ◽  
Environment Interaction ◽  
Zno Nps ◽  
Wheat Genotypes ◽  
Main Component ◽  
The Impact

Different seed priming treatments are widely used in order to improve the nutritional status of wheat, as well as to improve its grain yield and yield- related traits. The present study aimed to evaluate the impact of seed priming with zinc oxide nanoparticles (ZnO NPs) on the yield related traits, such as, field emergence, plant height, spike length and grain yield per plant of four winter wheat genotypes (Triticum aestivum L.) during two vegetation seasons of 2018/2019 and 2019/2020. The seeds of each wheat genotypes were primed with different concentrations of ZnO NPs (0 mg L−1, 10 mg L−1, 100 mg L−1 and 1000 mg L−1) for 48 h in a dark box by continuous aeration and were sown in soil pots with 60–70% moisture content until full maturity. The additive main effects and multiplicative interaction (AMMI) models were used to study the genotype environment effects. The results indicated that the plants response to ZnO nanoparticles significantly increased all of the observed traits of the wheat, while its maximum rates reduced the traits of the wheat. The AMMI analysis revealed the very complex nature of the variation observed in the trial and showed the significant effect of the G×E interaction, in which the first main component was significant for all components.

scholarly journals A STUDY OF ANCESTRAL AND MODERN CANADIAN SPRING WHEATS

1987 ◽  
Vol 67 (1) ◽  
pp. 87-97 ◽  
Author(s):  
P. HUCL ◽  
R. J. BAKER
Keyword(s):  
Grain Yield ◽  
Spring Wheat ◽  
Harvest Index ◽  
Negative Impact ◽  
Wheat Yield ◽  
Triticum Aestivum L ◽  
Kernel Weight ◽  
Environment Interaction ◽  
Canadian Prairie ◽  
Spike Number

Spring wheat cultivars (Triticum aestivum L.) representing a century of crop breeding effort were evaluated in three rain-fed environments to determine which yield-related traits have been altered over time. Plant height and the length of the vegetative growth phase were shortened during the pre-Thatcher era. Spikelet number has been reduced but kernel weight increased during the period of cultivar development discussed herein. Tiller production has changed little since the turn of the century while spike number has been reduced slightly in the post-Thatcher period. Harvest indices increased with the introduction of Thatcher, but neither that trait nor crop grain yield have undergone consistent improvements since the 1930s. A significant cultivar × environment interaction resulted from adverse environment having a greater negative impact on grain yield of the older cultivars Red Fife and Marquis relative to their descendents. HY320, representing a potential new market class (Canadian Prairie Spring), yielded 25% more than standard height cultivars due to a higher biological yield and harvest index. Crop and spike grain yields were associated with kernel number/spike (r = 0.78,0.75) and days to spike emergence (r = 0.50,0.55), suggesting that high grain yield in this material is a function of maturity-dependent kernel production. Future improvements in grain yield might result from selection for higher harvest index since the latter trait is positively correlated with yield (r = 0.63) but not associated with maturity (−0.17).Key words: Old cultivars, spring wheat, yield components, harvest index, cultivar × environment interaction

scholarly journals Effect of topdressing with nitrogen on the yield and quality of winter wheat grain

2011 ◽  
Vol 50 (No. 7) ◽  
pp. 309-314 ◽  
Author(s):  
L. Ducsay ◽  
O. Ložek
Keyword(s):  
Winter Wheat ◽  
Grain Yield ◽  
Field Experiments ◽  
Nitrogen Nutrition ◽  
Inorganic Nitrogen ◽  
Weather Conditions ◽  
Triticum Aestivum L ◽  
Kernel Weight ◽  
Urea Solution ◽  
Wheat Grain

Small-plot field experiments were established in the first decade of October at the Plant Breeding Station of Sl&aacute;dkovičovo-Nov&yacute; dvor with winter wheat (Triticum aestivum L.), variety Astella. There was investigated an effect of topdressing with nitrogen on the yield of winter wheat grain and its quality characteristics in the experiment. Nitrogenous fertilizers were applied at the growth phase of the 6<sup>th</sup> leaf (Zadoks = 29). Soil of the experimental stand was analysed for inorganic nitrogen content (N<sub>an</sub>) down to the depth of 0.6 m of soil profile. Productive nitrogen fertilizing rate was computed to ensure N<sub>an</sub> content in soil on the level of 120 and140 kg N/ha, respectively. Three various forms of fertilizers were examined, urea solution, ammonium nitrate with dolomite, and DAM-390. Different weather conditions statistically highly, significantly influenced grain yield in respective experimental years. Topdressing with nitrogen caused a statistically highly significant increase of grain yield in all fertilized variants ranging from +0.35 to +0.82 t/ha according to respective treatments. Average grain yield in unfertilised control variant represented 7.23 t/ha. Nitrogen nutrition showed a positive effect on the main macroelements offtake (N, P, K, Ca, Mg, S) by winter wheat grain in all fertilized variants. Nitrogen fertilizing to the level of 140 kg/ha N in soil positively influenced formation of wet gluten and crude protein with highest increment in variant 5 (solution of urea) representing +12.8 and +10.7%, respectively in comparison to control unfertilised variant as well as to variant 2 (solution of urea and fertilizing on the level of120&nbsp;kg N/ha) where increments represented +8.8 and 9.7%, respectively. Thousand-kernel weight, volume weight and portion of the first class grain were not markedly influenced by nitrogen fertilizing.

scholarly journals Effect of Temperature on Sowing Dates of Wheat under Arid and Semi-Arid Climatic Regions and Impact Quantification of Climate Change through Mechanistic Modeling with Evidence from Field

Atmosphere ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 927
Author(s):  
Jamshad Hussain ◽  
Tasneem Khaliq ◽  
Muhammad Habib ur Rahman ◽  
Asmat Ullah ◽  
Ishfaq Ahmed ◽  
...  
Keyword(s):  
Climate Change ◽  
Grain Yield ◽  
Arid Region ◽  
Field Experiments ◽  
Climatic Conditions ◽  
Seasonal Temperature ◽  
Sowing Dates ◽  
Rcp 8.5 ◽  
Semi Arid Region ◽  
Semi Arid

Rising temperature from climate change is the most threatening factor worldwide for crop production. Sustainable wheat production is a challenge due to climate change and variability, which is ultimately a serious threat to food security in Pakistan. A series of field experiments were conducted during seasons 2013–2014 and 2014–2015 in the semi-arid (Faisalabad) and arid (Layyah) regions of Punjab-Pakistan. Three spring wheat genotypes were evaluated under eleven sowing dates from 16 October to 16 March, with an interval of 14–16 days in the two regions. Data for the model calibration and evaluation were collected from field experiments following the standard procedures and protocols. The grain yield under future climate scenarios was simulated by using a well-calibrated CERES-wheat model included in DSSAT v4.7. Future (2051–2100) and baseline (1980–2015) climatic data were simulated using 29 global circulation models (GCMs) under representative concentration pathway (RCP) 8.5. These GCMs were distributed among five quadrants of climatic conditions (Hot/Wet, Hot/Dry, Cool/Dry, Cool/Wet, and Middle) by a stretched distribution approach based on temperature and rainfall change. A maximum of ten GCMs predicted the chances of Middle climatic conditions during the second half of the century (2051–2100). The average temperature during the wheat season in a semi-arid region and arid region would increase by 3.52 °C and 3.84 °C, respectively, under Middle climatic conditions using the RCP 8.5 scenario during the second half-century. The simulated grain yield was reduced by 23.5% in the semi-arid region and 35.45% in the arid region under Middle climatic conditions (scenario). Mean seasonal temperature (MST) of sowing dates ranged from 16 to 27.3 °C, while the mean temperature from the heading to maturity (MTHM) stage was varying between 12.9 to 30.4 °C. Coefficients of determination (R2) between wheat morphology parameters and temperature were highly significant, with a range of 0.84–0.96. Impacts of temperature on wheat sown on 15 March were found to be as severe as to exterminate the crop before heading. The spikes and spikelets were not formed under a mean seasonal temperature higher than 25.5 °C. In a nutshell, elevated temperature (3–4 °C) till the end-century can reduce grain yield by about 30% in semi-arid and arid regions of Pakistan. These findings are crucial for growers and especially for policymakers to decide on sustainable wheat production for food security in the region.

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

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)

scholarly journals Path analysis of grain yield associated characters in Brazilians wheat genotypes (Triticum aestivum L.)

2017 ◽  
Vol 11 (11) ◽  
pp. 1406-1410 ◽  
Author(s):  
Ivan Ricardo Carvalho ◽  
◽  
Maicon Nardino ◽  
Diego Nicolau Follmann ◽  
Gustavo Henrique Demari ◽  
...  
Keyword(s):  
Triticum Aestivum ◽  
Grain Yield ◽  
Path Analysis ◽  
Triticum Aestivum L ◽  
Wheat Genotypes

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

2019 ◽  
pp. 847-856 ◽  
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.

scholarly journals Expected genetic gains from mono trait and indexbased selection in advanced bread wheat (Triticum aestivum L.) populations

2020 ◽  
Vol 73 (2) ◽  
pp. 9131-9141
Author(s):  
Zine El Abidine Fellahi ◽  
Abderrahmane Hannachi ◽  
Hamenna Bouzerzour
Keyword(s):  
Grain Yield ◽  
Bread Wheat ◽  
Flag Leaf ◽  
Block Design ◽  
Triticum Aestivum L ◽  
Research Unit ◽  
Kernel Weight ◽  
Wide Range ◽  
Wheat Lines ◽  
Selection Of

This study aimed at evaluating the expected gains from selection obtained based upon direct, indirect, and index-based selection in a set of 599 bread wheat lines. The experiment was carried out at the experimental field of INRAA institute, Setif research unit (Algeria), in a Federer augmented block design including three controls. A wide range of genetic variability was observed among lines for the eleven traits assessed. The results indicated that index-based selection and selection based on grain yield expressed higher expected genetic gain than direct and indirect mono-trait-based selection. The best 15 selected lines exhibited higher grain yield than the control varieties, and they were clustered in three groups that contrasted mainly for the flag-leaf area, thousand-kernel weight, biomass, and harvest index. The index-based selection appears as a useful tool for the rapid selection of early filial generations, enriching selected breeding materials with desirable alleles and reducing the number of years required to combine these traits in elite varieties.

Sign in / Sign up

Export Citation Format

Share Document