Growth response of four hard red spring wheat cultivars to date of seeding

1995 ◽  
Vol 75 (1) ◽  
pp. 75-80 ◽  
Author(s):  
P. Hucl
Keyword(s):  
Spring Wheat ◽  
Growth Analysis ◽  
Growth And Yield ◽  
Photoperiod Response ◽  
Environment Interaction ◽  
Wheat Cultivars ◽  
Wheat Growth ◽  
Area Index ◽  
Seeding Date ◽  
The Impact

An increasing number of spring wheat cultivars released for production in western Canada are daylength insensitive. In contrast, until a decade ago virtually all Canada Western Red Spring (CWRS) wheat cultivars were daylength sensitive. The impact of photoperiod response on CWRS wheat growth and yield has not been studied to date. A growth analysis study was conducted in each of 3 yr at Saskatoon. Growth and yield traits of the photoperiod-sensitive cultivars Conway and Katepwa and photoperiod-insensitive cultivars Laura and Leader were compared in early versus late plantings. Laura had the highest leaf area index at anthesis and produced more spikelets and kernels per spike than the other cultivars. Laura, however, had a higher tiller mortality, producing fewer spikes per square metre. The cultivars did not respond uniformly to delayed seeding from one year to the next. Significant crossover cultivar × seeding date interaction was detected in each of the 3 yr. The cultivar × seeding-date interactions did not appear to follow a pattern that might be ascribed to differing cultivar photoperiod sensitivity. Conway was involved in one case of significant (P = 0.10) cultivar × seeding cross-over interaction for grain yield, while Katepwa and Leader were each involved in two cases and Laura in three cases. This study failed to determine whether differing photoperiod responses would translate into gross differences in cultivar growth and yield. Thus, there is a need to develop near-isogenic lines to determine whether photoperiod insensitivity is detrimental to yield stability in CWRS wheats. Key words: Canada Western Red Spring wheat, growth analysis, seeding date, genotype × environment interaction

Growth Analysis of Spring Wheat Cultivars of Varying Drought Resistance 1

Crop Science ◽  
1984 ◽  
Vol 24 (3) ◽  
pp. 537-541 ◽  
Author(s):  
John M. Clarke ◽  
Fred Townley‐Smith ◽  
Thomas N. McCaig ◽  
David G. Green
Keyword(s):  
Spring Wheat ◽  
Drought Resistance ◽  
Growth Analysis ◽  
Wheat Cultivars

scholarly journals Effect of Cowpea severe mosaic virus on Crop Growth Characteristics and Yield of Cowpea

Plant Disease ◽  
2005 ◽  
Vol 89 (5) ◽  
pp. 515-520 ◽  
Author(s):  
H. M. Booker ◽  
P. Umaharan ◽  
C. R. McDavid
Keyword(s):  
Mosaic Virus ◽  
Leaf Area ◽  
Growth Phase ◽  
Field Experiments ◽  
Yield Loss ◽  
Crop Growth ◽  
Growth And Yield ◽  
Exponential Growth Phase ◽  
Area Index ◽  
The Impact

Field experiments were carried out in St. Augustine, Trinidad & Tobago, West Indies to determine the effects of time of inoculation of Cowpea severe mosaic virus (CPSMV) and cultivar on crop growth and yield in cowpea (Vigna unguiculata). Crop growth and yield loss were investigated through growth analysis and yield component analysis on three cultivars in two seasons (wet and dry). Time of inoculation had the most profound impact on yield. Inoculations during the early log phase (seedling stage), 12 days after seeding (DAS), consistently had the greatest impact (50 to 85% yield loss) compared with those inoculated during the exponential growth phase (24 DAS; 22 to 66% yield loss) or linear growth phase (35 DAS; 2 to 36% yield loss). The effects were particularly pronounced in the dry season and in the more determinate cultivar, H8-8-27. Reduction in maximum leaf area index, leaf area duration, or maximum vegetative dry matter explained reductions in yield. Yield reductions resulted primarily from reduced pod number per plant and, to a lesser extent, from reduced average pod dry weight. The results show that CPSMV control measures should be aimed at delaying infection by CPSMV to minimize the impact on cowpea yield.

scholarly journals Soybean growth and yield under cover crops

Revista CERES ◽  
2013 ◽  
Vol 60 (2) ◽  
pp. 249-256 ◽  
Author(s):  
Priscila de Oliveira ◽  
Adriano Stephan Nascente ◽  
João Kluthcouski
Keyword(s):  
Grain Yield ◽  
Common Bean ◽  
Pearl Millet ◽  
Cover Crops ◽  
Growth Analysis ◽  
Block Design ◽  
Growth And Yield ◽  
Area Index ◽  
Positive Effects ◽  
Soybean Plants

The use of cover crops in no-tillage systems can provide better conditions for the development of soybean plants with positive effects on grain yield and growth analysis techniques allow researchers to characterize and understand the behavior of soybean plants under different straw covers. Thus, the aim of this study was to characterize, using growth analysis, yield components and agronomic performance of soybean under common bean, Brachiaria brizantha and pearl millet straws. The experiment was performed on a soil under cerrado in the municipality of Santo Antônio de Goiás, GO. The experiment was arranged in a randomized complete block design with three treatments (cover crops) and five replications. Soybean grain yield was lower in the B. brizantha straw treatment (3,708 kg ha-1) than both in the pearl millet (4.772 kg ha-1) and common bean straw treatments (5,200 kg ha-1). The soybean growth analysis in B. brizantha, pearl millet and common bean allowed characterizing the variation in the production of dry matter of leaves, stems, pods and total and leaf area index that provided different grain yields. The cover crop directly affects the soybean grain yield.

scholarly journals Influences of deficit irrigation on soil water content distribution and spring wheat growth in Hetao Irrigation District, Inner Mongolia of China

2020 ◽  
Vol 20 (8) ◽  
pp. 3722-3729
Author(s):  
Ling Zhou
Keyword(s):  
Soil Moisture ◽  
Spring Wheat ◽  
Inner Mongolia ◽  
Deficit Irrigation ◽  
Soil Moisture Content ◽  
Irrigation System ◽  
Irrigation District ◽  
Growth And Yield ◽  
Full Irrigation ◽  
Wheat Growth

Abstract In order to develop a water-saving irrigation system for spring wheat, field experiments were conducted on the deficit irrigation of spring wheat in Hetao Irrigation District, Inner Mongolia. Through measurement of soil moisture content, the spring wheat growth and yield index, the influences of deficit irrigation on soil moisture distribution and spring wheat growth were studied. Results showed that, in the soil layers 0–100 cm below the ground, the soil moisture content under full irrigation at 100% ETc (ETc denotes actual water demanded by crops) and that under deficit irrigation at 80% ETc increased with the increase of soil layer depth; specifically, soil moisture under deficit irrigation at 60% ETc was mainly distributed in the subsurface layer (20–40 cm) and the middle layer (40–60 cm). The spring wheat yield was not greatly influenced by the deficit irrigation at 80% ETc, showing a decrease of merely 5–13% compared with that under full irrigation, while deficit irrigation at 60% ETc had greater impact on the growth and yield of spring wheat, cutting the yield by 10–37% in comparison with that under full irrigation. In the study area, the deficit irrigation treatment at 80% ETc was adopted, wherein the irrigation norm in the growth period was 288 mm. This irrigation system had little adverse impact on spring wheat growth and yield, and therefore, water-saving irrigation could be realized.

Effects of elevated carbon dioxide, ozone and water availability on spring wheat growth and yield

2000 ◽  
Vol 108 (1) ◽  
pp. 61-70 ◽  
Author(s):  
Håkan Pleijel ◽  
Johanna Gelang ◽  
Ebe Sild ◽  
Helena Danielsson ◽  
Suhaila Younis ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Spring Wheat ◽  
Water Availability ◽  
Elevated Carbon Dioxide ◽  
Growth And Yield ◽  
Wheat Growth

scholarly journals MODELAGEM DO CRESCIMENTO E PRODUTIVIDADE DO ALGODÃO EM CULTIVO COMERCIAL NO CERRADO BAIANO

Nativa ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 403-412
Author(s):  
Eduardo Pires Bender ◽  
Josimar Nogueira Batista ◽  
Guilherme Bastos Lyra ◽  
Jose Carlos Polidoro ◽  
Claudia Pozzi Jantalia ◽  
...  
Keyword(s):  
Growth Analysis ◽  
Growth Models ◽  
Agricultural Practices ◽  
Tropical Soils ◽  
Growth And Yield ◽  
Total Biomass ◽  
Area Index ◽  
Exponential Models ◽  
Biometric Parameters ◽  
Commercial Area

A análise de crescimento e produção dos cultivos é fundamental para avaliar a interação das culturas com o ambiente e práticas agrícolas. Neste estudo, avaliações sobre o crescimento e produtividade do algodoeiro foram conduzidas em um sistema comercial de produção sob regime de sequeiro, submetido a duas diferentes fontes de nitrogênio no município de Luís Eduardo Magalhães, Bahia. O objetivo foi avaliar o ajuste dos modelos logístico e exponencial, respectivamente, às variáveis de crescimento do algodão e o índice de área foliar (IAF), em função dos graus-dia acumulado (GDA). Para isso, foram realizadas observações na safra 2014/15 dos seguintes parâmetros biométricos: altura da planta, biomassa total, biomassa de caule, folhas e estruturas reprodutivas. Os modelos logísticos e exponenciais ajustados em função dos GDA mostraram-se capazes de representar satisfatoriamente a variação dos parâmetros biométricos avaliados, com coeficiente de regressão ajustado (R2ajs) entre 0,88 e 0,99. A produtividade média de algodão em caroço oscilou entre 5263,4 e 3891,5 kg ha-1 e o rendimento de pluma entre 2300,1 e 1688,9 kg ha-1. Conclui-se que os modelos ajustados podem ser utilizados para auxiliar na análise de crescimento vegetal, quando relacionados aos GDA, além de permitirem obter coeficientes biométricos utilizados em modelos dinâmicos.Palavras-chave: solos tropicais; partição de biomassa; modelos de crescimento. MODELING OF COTTON GROWTH AND YIELD IN COMMERCIAL AREA IN BAHIA CERRADO ABSTRACT: Growth analysis and yield of crops are key to evaluate the interaction of crops with the environment and agricultural practices. In this study, assessments of cotton growth and yield were carried out in a commercial production system in rainfed regime, submitted to two different sources of nitrogen in in the municipality of Luís Eduardo Magalhães, State of Bahia, Brazil. The aim was to assess the fit of logistic and exponential models, the growth variables cotton and the leaf area index, due to cumulative degree-days (CDD). During the period from 11/2014 to 07/2015 of the following biometric parameters observations were made: plant height, total biomass, biomass of stems, leaves and reproductive structures. The logistic and exponential models, fitted according to the CDD, were able to satisfactorily represent the variation of the evaluated biometric parameters, with a fitted regression coefficient (R2ajs) between 0.88 and 0.99. The average yield of cotton ranged between 5263.4 and 3891.5 kg ha-1 and the plume yield between 2300.1 and 1688.9 kg ha-1. It is concluded that the fitted model may be used to aid in the plant growth analysis when related to the CDD, besides enabling to obtain biometric coefficients in dynamic models.Keywords: tropical soils; biomass partitioning; growth models.

scholarly journals Parameterization of SSM Model to Analyze Wheat Growth and Yield Potential Under Pakdasht Conditions

2018 ◽  
Vol 11 (4) ◽  
pp. 1913-1926
Author(s):  
Hamed Azad ◽  
Gholam Abbas Akbar ◽  
Gholam Ali Akbari ◽  
Elias Soltani
Keyword(s):  
Block Design ◽  
Simulation Models ◽  
Growth And Yield ◽  
Yield Potential ◽  
Growth Stages ◽  
Wheat Cultivars ◽  
Phenological Stages ◽  
Wheat Growth ◽  
Production And Distribution ◽  
Growth And Aging

Simulation models of crops are used for experimental and complementary research on field projects. These models are also useful for interpreting the results and examining agricultural systems under different environmental and management conditions. The aim of this study was to describe a model for wheat (SSM), guarantee wheat cultivars in a genetic discussion in the Pakdasht environment, and present the results of its evaluation. The model of phenological stages, growth, and aging of leaf area and the production and distribution of dry matter simulates water function and balance. The SSM model simulates the growth stages of the plant in response to environmental factors, heat, and the ability to access solar radiation. In order to evaluate the SSM model, field experiment data of two wheat cultivars—SW and Pishtaz—were used as factorial, based on a randomized complete block design with four replications. Subsequently, the parameters were evaluated, the model was tested in accordance with independent data, and the results indicate its acceptance for the main aspects of crops compared to the observed experiments—for example, for SW, we have 1830 GDD to 2310 GDD from pollination to treatment and extinction factor in Pishtaz is 0.71 and PLAPOW coefficient is 1.6484±.063, which can finally be used to simulate these figures.

scholarly journals Genetic diversity and selective sweeps in historical and modern Canadian spring wheat cultivars using the 90K SNP array

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Kassa Semagn ◽  
Muhammad Iqbal ◽  
Nikolaos Alachiotis ◽  
Amidou N’Diaye ◽  
Curtis Pozniak ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Genetic Differentiation ◽  
Spring Wheat ◽  
Snp Array ◽  
Categorical Variables ◽  
Selective Sweeps ◽  
Wheat Cultivars ◽  
Breeding Programs ◽  
The Impact

AbstractPrevious molecular characterization studies conducted in Canadian wheat cultivars shed some light on the impact of plant breeding on genetic diversity, but the number of varieties and markers used was small. Here, we used 28,798 markers of the wheat 90K single nucleotide polymorphisms to (a) assess the extent of genetic diversity, relationship, population structure, and divergence among 174 historical and modern Canadian spring wheat varieties registered from 1905 to 2018 and 22 unregistered lines (hereinafter referred to as cultivars), and (b) identify genomic regions that had undergone selection. About 91% of the pairs of cultivars differed by 20–40% of the scored alleles, but only 7% of the pairs had kinship coefficients of < 0.250, suggesting the presence of a high proportion of redundancy in allelic composition. Although the 196 cultivars represented eight wheat classes, our results from phylogenetic, principal component, and the model-based population structure analyses revealed three groups, with no clear structure among most wheat classes, breeding programs, and breeding periods. FST statistics computed among different categorical variables showed little genetic differentiation (< 0.05) among breeding periods and breeding programs, but a diverse level of genetic differentiation among wheat classes and predicted groups. Diversity indices were the highest and lowest among cultivars registered from 1970 to 1980 and from 2011 to 2018, respectively. Using two outlier detection methods, we identified from 524 to 2314 SNPs and 41 selective sweeps of which some are close to genes with known phenotype, including plant height, photoperiodism, vernalization, gluten strength, and disease resistance.

Sign in / Sign up

Export Citation Format

Share Document