Phenotypic Analysis of Agronomic Traits in Bread Wheat

SummaryComponents of yield and seed quality are traits of primary importance in bread wheat breeding programs. Yield components are obviously a major determinant of farmer’s income, whereas seed quality is very important for breeding quality. In this paper, the thousand grain weight (TGW) was chosen as indicative of yield features and the shelling percentage (RND) as indicative of seed quality (although RND is not directly connected to the technological/seed quality, but rather indirectly and it greatly contributes to the wider picture of seed quality). The objectives of the present research were two-fold: to determine the influence of genotype, the environment and their interaction on the thousand grain weight and shelling percentage and to evaluate the stability via the AMMI model. The grain samples were obtained from ten winter wheat cultivars grown in 2009/10, 2010/11, 2011/12 at three locations in Serbia: Novi Sad, Sremska Mitrovica and Pančevo. The ten winter wheat cultivars used in this study were: Evropa 90, NSR-5, Pobeda, Renesansa, Ljiljana, Cipovka, Dragana, Simonida, NS 40 S and Zvezdana. The thousand grain weight and shelling percentage were investigated and statistically analyzed via the AMMI model, which showed significant differences between genotypes at various locations and ASV rankings. The most favorable cultivar in the experiment was Dragana in terms of all investigated traits.

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Genetic Improvement in Agronomic Traits of Hard Red Winter Wheat Cultivars 1919 to 1987

Crop Science ◽

10.2135/cropsci1988.0011183x002800050006x ◽

1988 ◽

Vol 28 (5) ◽

pp. 756-760 ◽

Cited By ~ 138

Author(s):

T. S. Cox ◽

J. P. Shroyer ◽

Liu Ben‐Hui ◽

R. G. Sears ◽

T. J. Martin

Keyword(s):

Winter Wheat ◽

Genetic Improvement ◽

Agronomic Traits ◽

Wheat Cultivars ◽

Hard Red Winter Wheat ◽

Winter Wheat Cultivars ◽

Red Winter Wheat

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Agronomic Traits Analysis of Ten Winter Wheat Cultivars Clustered by UAV-Derived Vegetation Indices

Remote Sensing ◽

10.3390/rs12020249 ◽

2020 ◽

Vol 12 (2) ◽

pp. 249 ◽

Cited By ~ 4

Author(s):

Stefano Marino ◽

Arturo Alvino

Keyword(s):

Winter Wheat ◽

Agronomic Traits ◽

Vegetation Indices ◽

Ground Truth ◽

Accurate Estimation ◽

Wheat Cultivars ◽

Yield Data ◽

Related Data ◽

High Data ◽

Winter Wheat Cultivars

Timely and accurate estimation of crop yield variability before harvest is crucial in precision farming. This study is aimed to evaluate the ability of cluster analysis based on Vegetation Indices (VIs) that were obtained from UAVs to predict the spatial variability on agronomic traits of ten winter wheat cultivars. Five VIs groups were identified and the ground truth yield-related data were analyzed for clusters validation. The yield data revealed a value of 6.91 t ha−1 for the first cluster with the highest VIs value and a decrease of −12%, −21%, and −27% for the 2nd, 3rd, and 4th clusters; respectively; the 5th cluster; with the lowest VIs value showed the lower yield values (4 t ha−1). Agronomic traits, such as dry biomass, spike numbers, and weight were grouped according to VIs clusters and analyzed and showed the same trends. The analysis of spatial distribution and agronomic data of the ten cultivars within the single clusters highlighted that the most productive varieties showing a greater value of spike weight and numbers and a greater presence of areas with high values of VIs and vice versa the less productive once, though two cultivars showed productions not linked to cluster classification and high data range variability were recorded. Cluster identified by high-resolution UAV vegetation indices can be a valid strategy although its effectiveness is closely linked to the cultivar component and, therefore, requires extensive verification.

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Using agronomic traits and semiochemical production in winter wheat cultivars to identify suitable trap crops for the wheat stem sawfly

The Canadian Entomologist ◽

10.4039/n09-072 ◽

2010 ◽

Vol 142 (3) ◽

pp. 222-233 ◽

Cited By ~ 7

Author(s):

Micaela Buteler ◽

David K. Weaver ◽

Phil L. Bruckner ◽

Gregg R. Carlson ◽

James E. Berg ◽

...

Keyword(s):

Winter Wheat ◽

Agronomic Traits ◽

Cropping Systems ◽

Oviposition Behavior ◽

Wheat Cultivars ◽

Detailed Measurement ◽

Wheat Stem Sawfly ◽

Trap Crops ◽

Trap Cropping ◽

Winter Wheat Cultivars

AbstractTrap crops are a plausible control strategy for the wheat stem sawfly (WSS), Cephus cinctus Norton (Hymenoptera: Cephidae), especially in alternate wheat−fallow cropping systems. Identifying the most suitable winter wheat (Triticum aestivum L., Poaceae) cultivars is necessary to further improve the effectiveness of winter wheat trap crops. We compared cultivars suitable for cultivation in Montana to identify those that exhibit the greatest potential as trap crops. To accomplish this we used nine winter wheat cultivars to analyze plant characteristics that influence the oviposition behavior of the WSS: stem height, stem diameter, rate of plant development, and emission of the WSS attractant (Z)-3-hexenyl acetate. Data on sawfly-induced stem cutting collected from these cultivars in field nurseries were analyzed to evaluate the potential of each cultivar to attract sawflies. Based on these criteria, five cultivars with good potential as trap crops are ‘Norstar’, ‘Neeley’, ‘Morgan’, ‘Rampart’, and ‘BigSky’. More data from laboratory preference tests and detailed measurement of semiochemical production from these cultivars are required for selecting optimal cultivars for trap-cropping.

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Genetic Improvement of Agronomic Traits of Winter Wheat Cultivars Released in France from 1946 to 1992

Crop Science ◽

10.2135/cropsci2003.3700 ◽

2003 ◽

Vol 43 (1) ◽

pp. 37 ◽

Cited By ~ 172

Author(s):

M. Brancourt-Hulmel ◽

G. Doussinault ◽

C. Lecomte ◽

P. Bérard ◽

B. Le Buanec ◽

...

Keyword(s):

Winter Wheat ◽

Genetic Improvement ◽

Agronomic Traits ◽

Wheat Cultivars ◽

Winter Wheat Cultivars

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Potassium Uptake, Physiological and Molecular Responses in Different Winter Wheat Cultivars under Deficit Irrigation and Potassium Levels

International Journal of Agriculture and Biology ◽

10.17957/ijab/15.1749 ◽

2021 ◽

Vol 25 (05) ◽

pp. 937-944

Author(s):

Xinyang Bai

Keyword(s):

Winter Wheat ◽

Biomass Production ◽

Deficit Irrigation ◽

Agronomic Traits ◽

Photosynthetic Parameters ◽

Wheat Cultivars ◽

K Uptake ◽

Winter Wheat Cultivars ◽

Use Efficiency ◽

Low K

Improving potassium (K) use efficiency (KUE) is beneficial for the sustainable production of cereal crops. In this study, the effects of K input level on its uptake and agronomic trait of the winter wheat under deficit irrigation were investigated in K deprivation responses, using two cultivars contrasting (low-K tolerant cultivar Kenong 9204 and K deprivation sensitive one Jimai 120). Under sufficient-K treatment (K180, SK), the two cultivars showed similar K contents, and K accumulation, biomass, photosynthetic parameters in upper expanded leaves, including yield components. Under deficient-K (K60, DK) condition, both cultivars showed varied behaviors of the K-associated traits, physiological parameters, growth and agronomic traits; however, better response was observed in Kenong 9204 than Jimai 120. These results suggested the essential roles of low-K tolerant cultivars under the K-saving management together with deficit irrigation. Two genes of the potassium transporter (HAK) family, TaHAK3 and TaHAK5, showed expression of significantly upregulated upon K deprivation, with much more transcripts shown in the K-deprived Kenong 9204 plants than Jimai 120 ones. Transgene analysis on the HAK genes validated their positive roles in modulating the K accumulation and biomass production of plants under low-K condition. These results indicated that distinct HAK family genes are transcriptionally regulated underlying K deprivation signaling and contribute to plant K uptake and biomass production under low-K conditions. This study suggested the drastically genetic variation on K uptake and biomass production across winter wheat cultivars treated by K- and water-saving conditions, associated with transcription efficiency of the distinct HAK genes which modulate K uptake, growth and development of plants. © 2021 Friends Science Publishers

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Relationship Between Eyespot Severity and Productivity of Winter Wheat in Lithuania

Proceedings of the Latvia University of Agriculture ◽

10.2478/plua-2014-0012 ◽

2014 ◽

Vol 32 (1) ◽

pp. 41-44 ◽

Cited By ~ 2

Author(s):

Jūratė Ramanauskienė ◽

Irena Gaurilčikienė ◽

Rūta Česnulevičienė

Keyword(s):

Winter Wheat ◽

Yield Loss ◽

Grain Weight ◽

Thousand Grain Weight ◽

Grain Number ◽

Wheat Varieties ◽

Cropping Season ◽

Winter Wheat Cultivars ◽

Severity Of The Disease ◽

The Relationship

Abstract Cereal yield loss from eyespot directly depends on the severity of the disease. The aim of this study was to establish the relationship between eyespot damage in winter wheat and components of yield of winter wheat cultivars Ada, Mulan and Tukan in Lithuania in the 2011/2012 cropping season. Several eyespot did not decrease the grain number per ear cv. of Tukan while for cvs. Ada and Mulan the decrease was 14 and 15%, respectively; however, the grain number per ear of moderately eyespot-affected stems of cv. Ada did not differ from that of visually healthy stems. For cv. Ada, the grain weight per ear of moderately affected stems was 5.8% less and that of severely affected stems was 12.8% less than that of healthy stems, while for cv. Mulan the decrease in grain weight per ear was 40.3 and 35.5%, respectively and for cv. Tukan it was 59.0 and 63.2%, respectively for moderately and severely affected stems. The decrease in thousand grain weight of moderately eyespot-affected stems of cv. Ada was less (6.5%) compared with that of cv. Mulan (31.3%) and cv. Tukan (55.8%). Thousand grain weight of severely eyespot-affected stems of cvs. Ada, Mulan and Tukan was 22.2, 26.0, and 65.0%, respectively, less than that of healthy stems. Screening of healthy, moderately and severely affected plants of the winter wheat varieties Ada, Mulan and Tukan for grain number per ear, grain weight per ear and TGW revealed that these varieties differed in tolerance to eyespot

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