scholarly journals Sowing Dates and Soybean Cultivars Influence Seed Yield, Oil and Protein Contents in Subtropical Environment

2017 ◽  
Vol 9 (6) ◽  
pp. 188 ◽  
Author(s):  
Clovis Pierozan Junior ◽  
Jackson Kawakami ◽  
Kélin Schwarz ◽  
Renan Caldas Umburanas ◽  
Murilo Viotto Del Conte ◽  
...  
Keyword(s):  
Grain Yield ◽  
Protein Content ◽  
Management Practice ◽  
Plant Morphology ◽  
High Mass ◽  
Environment Interaction ◽  
Soybean Cultivars ◽  
Sowing Dates ◽  
Late Sowing ◽  
Subtropical Environment

The sowing date is the crop management practice with higher interference on soybean grain yield, although this interference is dependent on the genotype by environment interaction. This study was carried out to evaluate how soybean genotypes behave at different sowing times in a subtropical environment. We evaluated the grain yield, yield components, plant morphology and grain oil and protein content of four soybean cultivars (FPS Urano RR, BMX Apolo RR, BMX Energia RR and BRS 284) at three sowing dates (early, mid, and late sowing in 2010/2011 season) in Mid-South of Parana State, Brazil. Early cultivars at late sowing may have problems with mechanical harvest. The number of pods and grains differed among cultivars, and the cultivar “BRS 284” showed the best results. As an exception, the cultivar “BRS 284” showed yield stability among sowing dates. Higher amount of grain protein content occurs in middle and late sowing dates. The grain yield decreased with delay of sowing due to the reduction of the grains mass and in Southern Brazil is very important to assure high mass of seed to obtain high grain yields.

scholarly journals Canaryseed (Phalaris canariensis L.) accessions from nineteen countries show useful genetic variation for agronomic traits

2011 ◽  
Vol 91 (1) ◽  
pp. 37-48 ◽  
Author(s):  
M. Cogliatti ◽  
F. Bongiorno ◽  
H. Dalla Valle ◽  
W J Rogers
Keyword(s):  
Genetic Variation ◽  
Grain Yield ◽  
Harvest Index ◽  
Agronomic Traits ◽  
Grain Weight ◽  
Environment Interaction ◽  
Grain Number ◽  
Harvest Maturity ◽  
Phalaris Canariensis ◽  
Late Sowing

Fifty-seven accessions of canaryseed (47 populations and 10 cultivars) from 19 countries were evaluated for agronomic traits in four field trials sown over 3 yr in the province of Buenos Aires, Argentina. Genetic variation was found for all traits scored: grain yield and its components (grain weight, grain number per square meter, grain number per head and head number per square meter), harvest index, percent lodging, and phenological characters (emergence to heading, emergence to harvest maturity and heading to harvest maturity). Although genotype × environment interaction was observed for all traits, the additive differences between accessions were sufficient to enable promising breeding materials to be identified. Accessions superior in performance to the local Argentinean population, which in general gave values close to the overall mean of the accessions evaluated, were identified. For example, a population of Moroccan origin gave good yield associated with elevated values of the highly heritable character grain weight, rather than with the more commonly observed grain number per square meter. This population was also of relatively short stature and resistant to lodging, and, although it performed best when sown within the normal sowing date, tolerated late sowing fairly well. Other accessions were also observed with high grain weight, a useful characteristic in itself, since large grains are desirable from a quality point of view. Regarding phenology, the accessions showed a range of 160 degree days (8 calendar days in our conditions) in maturity, which, while not large in magnitude, may be of some utility in crop rotation management. Some accessions were well adapted to late sowing. Grain yield in general was strongly correlated with grain number per square meter. Principal components analysis (PCA) carried out for all characteristics provided indications of accessions combining useful characteristics and identified three components that explained approximately 70% of the phenotypic variation. Furthermore, a second PCA plus regression showed that approximately 60% of the variation in grain yield could be explained by a component associated with harvest index and grain number per square meter. Pointers were provided to possible future breeding targets.Key words: Phalaris canariensis, canaryseed, accessions, yield, phenology, genetics, breeding

scholarly journals Co-inoculation with Azospirillum brasilense in soybean cultivars subjected to water déficit

2020 ◽  
Vol 24 (2) ◽  
pp. 89-94 ◽  
Author(s):  
Alessandra M. de L. Naoe ◽  
Joênes M. Peluzio ◽  
Leonardo J. M. Campos ◽  
Lucas K. Naoe ◽  
Roberta A. e Silva
Keyword(s):  
Grain Yield ◽  
Water Deficit ◽  
Bradyrhizobium Japonicum ◽  
Azospirillum Brasilense ◽  
Field Experiments ◽  
Crop Evapotranspiration ◽  
Plant Genotype ◽  
Soybean Cultivars ◽  
Sowing Dates ◽  
Soybean Plants

ABSTRACT This study aimed to verify the effect of co-inoculation, association between Azospirillum brasilense and Bradyrhizobium japonicum bacteria, on soybean plants subjected to water deficit at two sowing dates. Two field experiments were conducted at the Universidade Federal de Tocantins, campus of Palmas, Brazil, in 2016. The experimental design was randomized blocks in a split-split-plot arrangement with four repetitions, where the plots consisted of two irrigation depths (100 and 25% of crop evapotranspiration - ETc), the subplots was composed of two methods of inoculant application (inoculation with Bradyrhizobium japonicum and co-inoculation with Azospirillum brasilense + Bradyrhizobium japonicum) and the sub-subplots comprised two soybean cultivars (TMG 132 and ANTA 82). The cultivars responded differently to the sowing dates. Co-inoculation did not influence grain yield under full irrigation conditions (100% ETc), in neither cultivar evaluated. However, under the water deficit condition (25% ETc), the grain yield of the cultivar TMG 132 increased 77.20%, indicating that there are different responses of interaction between Azospirillum brasilense, plant genotype and sowing dates.

Effect of sowing date on the yield and quality of maize hybrids with different growing seasons

2009 ◽  
Vol 57 (4) ◽  
pp. 389-399 ◽  
Author(s):  
J. Nagy
Keyword(s):  
Protein Content ◽  
Starch Content ◽  
Sowing Date ◽  
Grain Protein Content ◽  
Water Supplies ◽  
Maize Hybrids ◽  
Growing Seasons ◽  
Sowing Dates ◽  
Significant Difference ◽  
Late Sowing

The yield, protein and starch content of Martonvásár maize hybrids belonging to different FAO groups were examined in experiments involving early, optimal and late sowing dates in two different years (drought — 2007, favourable water supplies — 2008) on a calcareous chernozem soil with loam texture at the Látókép Experimental Station of the Centre of Agricultural Sciences and Engineering, University of Debrecen.Sowing date had a significant effect on maize grain yield in the dry year. The grain yields of hybrids with longer growing periods were significantly higher than those with shorter growing periods in both years, but they reacted sensitively to the change in sowing date in the dry year. Due to the rainfall distribution in the growing season, sowing date did not modify the performance of the hybrids in the year with favourable water supplies. Sowing date had a significant effect on the grain protein content in the dry year, with significantly higher values after late sowing than after early or optimal sowing. Averaged over the sowing dates, the protein content of the FAO 200 hybrid was significantly higher in both years than that of hybrids in other FAO groups. In the dry year, the greatest difference in protein content could be observed between the early and late sowing dates for hybrids in all four FAO groups. A negative correlation was found between yield and protein content. Sowing date significantly increased the starch content of maize in the favourable year, with a significant difference between early and late sowing dates.In the dry year higher starch contents were recorded for all the hybrids and for all the sowing dates than in the favourable year. In the dry year, sowing date only caused a significant difference in the starch content in the case of FAO 200 sown at optimal and late sowing dates. In the favourable year, a significant difference was only obtained for the starch content of the FAO 400 hybrid sown at early and late sowing dates. Satisfactory quality can only be achieved if suitable genotypes are grown with appropriate technologies.

Environmental and genetic variation for grain yield and barley malting quality attributes

1999 ◽  
Vol 50 (8) ◽  
pp. 1425 ◽  
Author(s):  
M. Q. Lu ◽  
L. O'Brien ◽  
I. M. Stuart
Keyword(s):  
Grain Yield ◽  
Protein Content ◽  
Genetic Gain ◽  
Quality Attributes ◽  
Malting Quality ◽  
Malt Extract ◽  
Progeny Testing ◽  
Environment Interaction ◽  
Wide Range ◽  
Selection For

Genotype, environment, and genotype × environment interaction effects for malting quality attributes and grain yield were investigated using breeding lines from the F2, F3, and F4 generations and the parental varieties of 4 barley crosses. There were significant differences between the parental varieties for all attributes studied. Both malting quality and grain yield exhibited a wide range among progenies in all generations. While performance of the parental varieties and progeny for malting quality and grain yield were greatly influenced by environment, performance in one environment was predictive of that in other environments. Only for grain protein content was there evidence of crossover G × E interaction. Heritability was generally higher for F3 to F4 than for F2 to F3 for all malting quality attributes. F3 on F2 regression per cent heritability estimates for protein content, potential malt extract and grain weight were all highly significant with values generally medium in magnitude. Genetic gain was obtained from selection in both the F2 and F3 generations. Heritability and genetic gain varied from cross to cross for diastatic power. Progress from selection for the other quality attributes attests to the potential value of NIT (near infrared transmittance) spectroscopy for predicting potential malting quality. Heritability for F2 to F3 for grain yield was not significant in any cross, indicating selection for yield on the basis of individual F2 plant yield was ineffective. Heritability for grain yield from F3 to F4 was highly significant and medium in magnitude for 3 of the 4 crosses. The results of this study indicate that good genetic gain could be expected from early generation selection for potential malting quality using NIT spectroscopy and for grain yield using F3 progeny testing.

Effect of sowing date and seed rate on the grain yield and protein content of winter barley

1992 ◽  
Vol 118 (3) ◽  
pp. 279-287 ◽  
Author(s):  
M. J. Conry ◽  
A. Hegarty
Keyword(s):  
Grain Yield ◽  
Protein Content ◽  
Strong Relationship ◽  
Sowing Date ◽  
Winter Barley ◽  
Yield Reduction ◽  
Seed Rate ◽  
Protein Levels ◽  
Sowing Dates ◽  
Lower Protein

SUMMARYAn experiment, carried out over a 5-year period (1984–88) on medium–heavy textured soil at Athy (Ireland), tested the effect of five sowing dates (early September–early December) and four seed rates (c. 100, 150, 200 and 250 kg/ha) on the grain yield and protein content of winter barley (cv. Panda).September-sown plots gave the greatest yields in all years. Plots sown in mid-October and later gave significantly reduced yields. Yield reductions over the 5-year period averaged 15, 24 and 34% for the mid-October, November and December sowing dates, respectively. Significant differences in yield between the smaller and larger seed rates were obtained, with the latter giving the greatest yields at all sowing dates from late September to December. Increasing the seed rate, however, did not compensate for the yield reduction due to delayed sowing. In the early September-sown plots, the higher seed rates gave reduced yields in four of the five years (1984–87) with the opposite result in 1988. In 1988 the early September-sown plots gave greater yields than the late September-sown plots.Regression analysis showed a strong relationship between yield and log(ears/m2) in four of the five years (1984–87) but the relationship was poor in 1988 primarily due to the inexplicably low ear population of the early-sown plots. The inclusion of 1000-grain weight in the model gave a better fit and accounted for a high proportion (62–80%) of the yield variation.The late September sowing date and the higher seed rates gave slightly lower protein levels in four of the five years. There was an inverse relationship between grain yield and protein for the same four years (1984–87).

scholarly journals DESEMPENHO DE CULTIVARES DE SOJA EM DIFERENTES AMBIENTES DE CULTIVO

Nativa ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 390-396
Author(s):  
Paulo Henrique Cerutti ◽  
Marcio Dos Santos ◽  
Anne Tietjen Muniz ◽  
Arthur Ribeiro Rodrigues ◽  
Luan Tiago dos Santos Carbonari ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Grain Yield ◽  
Linear Regression Analysis ◽  
Relevant Information ◽  
Environment Interaction ◽  
Breeding Programs ◽  
Soybean Cultivars ◽  
Genotype Environment Interaction ◽  
Analogous Behavior

Anualmente, inúmeros cultivares de soja são desenvolvidos por programas de melhoramento genético. Desse modo, é importante obter informações sobre o comportamento desses cultivares em distintos ambientes. Objetivou-se com a elaboração do trabalho avaliar o efeito da interação genótipo*ambiente no desempenho de cultivares de soja em diferentes ambientes de cultivo. O delineamento experimental utilizado foi de blocos ao acaso com três repetições. Durante a execução dos experimentos, foi avaliado o desempenho produtivo de seis cultivares de soja em seis ambientes. A variável considerada foi o rendimento de grãos (kg ha-1). As informações foram submetidas a análise de variância, análise de regressão linear simples e teste de comparação de médias. A média geral de produtividade de grãos foi de 2960 kg ha-1. Aanálise de regressão indicou dois cultivares com adaptabilidade ampla, três cultivares com adaptabilidade específica a ambientes desfavoráveis e um cultivar com adaptabilidade específica a ambientes favoráveis. Dentre os cultivares avaliados, quatro apresentaram comportamento esperado ao longo dos ambientes de cultivo. Os cultivares exibiram comportamento análogo quanto ao rendimento de grãos. Por meio da aplicação da metodologia da regressão linear, foi possível obter informações relevantes para cultivo de soja em ambientes subsequentes.Palavras-chave: Glicine max L.; interação genótipo*ambiente; adaptabilidade; estabilidade. PERFORMANCE OF SOYBEAN CULTIVARS IN DIFFERENT GROWING ENVIRONMENTS ABSTRACT:Annually, numerous soybean cultivars are developed by breeding programs. Thus, is important to obtain information about of these cultivars behavior in different environments. The objective of this work was to evaluate the effect of the genotype * environment interaction on the performance of soybean cultivars in different growing environments. The experimental design used was randomized blocks with three replications. During the execution of the experiments, was evaluated the productive performance of six soybean cultivars in six environments. The trait considered was grain yield (kg ha-1). The information was submitted to analysis of variance, simple linear regression analysis and means comparison test. The overall mean grain yield was 2960 kg ha-1. Regression analysis indicated two cultivars with broad adaptability, three cultivars with specific adaptability to unfavorable environments and one cultivar with specific adaptability to favorable environments. Among the evaluated cultivars, four showed prospective behavior throughout the cultivation environments. The cultivars exhibited analogous behavior regarding grain yield. The application of the linear regression methodology provided relevant information for soybean cultivation in subsequent environments.Keywords: Glicine max L.; genotype*environment interaction; adaptability; stability.

scholarly journals Pea Grain Protein Content Across Italian Environments: Genetic Relationship With Grain Yield, and Opportunities for Genome-Enabled Selection for Protein Yield

2022 ◽  
Vol 12 ◽  
Author(s):  
Margherita Crosta ◽  
Nelson Nazzicari ◽  
Barbara Ferrari ◽  
Luciano Pecetti ◽  
Luigi Russi ◽  
...  
Keyword(s):  
Grain Yield ◽  
Protein Content ◽  
Unit Area ◽  
Central Italy ◽  
Protein Yield ◽  
Model Construction ◽  
Environment Interaction ◽  
Polygenic Control ◽  
A Genome ◽  
Ril Population

Wider pea (Pisum sativum L.) cultivation has great interest for European agriculture, owing to its favorable environmental impact and provision of high-protein feedstuff. This work aimed to investigate the extent of genotype × environment interaction (GEI), genetically based trade-offs and polygenic control for crude protein content and grain yield of pea targeted to Italian environments, and to assess the efficiency of genomic selection (GS) as an alternative to phenotypic selection (PS) to increase protein yield per unit area. Some 306 genotypes belonging to three connected recombinant inbred line (RIL) populations derived from paired crosses between elite cultivars were genotyped through genotyping-by-sequencing and phenotyped for grain yield and protein content on a dry matter basis in three autumn-sown environments of northern or central Italy. Line variation for mean protein content ranged from 21.7 to 26.6%. Purely genetic effects, compared with GEI effects, were over two-fold larger for protein content, and over 2-fold smaller for grain and protein yield per unit area. Grain yield and protein content exhibited no inverse genetic correlation. A genome-wide association study revealed a definite polygenic control not only for grain yield but also for protein content, with small amounts of trait variation accounted for by individual loci. On average, the GS predictive ability for individual RIL populations based on the rrBLUP model (which was selected out of four tested models) using by turns two environments for selection and one for validation was moderately high for protein content (0.53) and moderate for grain yield (0.40) and protein yield (0.41). These values were about halved for inter-environment, inter-population predictions using one RIL population for model construction to predict data of the other populations. The comparison between GS and PS for protein yield based on predicted gains per unit time and similar evaluation costs indicated an advantage of GS for model construction including the target RIL population and, in case of multi-year PS, even for model training based on data of a non-target population. In conclusion, protein content is less challenging than grain yield for phenotypic or genome-enabled improvement, and GS is promising for the simultaneous improvement of both traits.

scholarly journals Assessment of Genetic Variability and Direct-Indirect Contribution of Post-Anthesis Traits to the Grain Yield in Bread Wheat (Triticum aestivum) at Different Sowing Dates

2021 ◽  
Vol 26 (01) ◽  
pp. 193-200
Author(s):  
Sami Ul-Allah
Keyword(s):  
Grain Yield ◽  
Direct Effect ◽  
Cropping System ◽  
Sowing Date ◽  
Breeding Program ◽  
Path Analyses ◽  
Sowing Dates ◽  
Two Factors ◽  
Biological Yield ◽  
Late Sowing

In cotton-wheat cropping system of Pakistan, sowing of wheat is delayed which results in a heavy loss to the farmers. To this end, a two-year field experiment was conducted to i) asses the performance of genotypes under late sowing ii) heritability and genetic association of different traits under normal and late sowing for their use in the breeding programs. Experimental factors included 20 diverse wheat genotypes (16 advance lines and 04 approved varieties) factorially combined with two sowing dates i.e., normal sowing (11 and 13 November in 2018 and 2019, respectively) and late sowing (09 and 11 December in 2018 and 2019, respectively). The results revealed a highly significant (P < 0.01) effect of genotype and sowing date on all the post-anthesis studied traits and the interaction of the two factors was also significant (P < 0.01) for all the traits except number of spikelets per spike. Contribution of sowing dates was more in overall variation of different post-anthesis traits than genotypes and their interaction. With respect to the performance, genotype 9725 performed best in both early and late sowing, but a reduction of 26% in the grain yield was observed due to late sowing, whereas the grain yield of Miraj-2008 was comparatively lower but showed a reduction of only 17% due to late sowing. Number of tillers per plant and biological yield showed a highly significant (P < 0.01) correlation (r= 0.38 and 0.72, respectively) with grain yield under normal conditions, but path analyses revealed that number of tillers per plant showed association indirectly through biological yield and its direct effect is only one third of the total effect. Under late sowing, association of number of tillers turned non-significant and direct effect become negative which showed complicated association of this trait under normal and late sowing. High broad sense heritability (H2 > 75%) of all the traits suggests a good genetic gain in breeding program by using these traits. As different genotypes performed best for different yield related traits, therefore a breeding program with a careful crossing plan should be developed to pyramid the genes for different traits for the development of genotypes adapted to late sowing. © 2021 Friends Science Publishers

Effect of Sowing Dates and Maize Cultivars in Growth and Yield of Maize along with their Agro-Climatic Indices in Nawalparasi, Nepal

2016 ◽  
Vol 3 (1) ◽  
Author(s):  
UMESH SHRESTHA ◽  
LAL PRASAD AMGAIN ◽  
TIKA BAHADUR KARKI ◽  
KHEM RAJ DAHAL ◽  
JIBAN SHRESTHA
Keyword(s):  
Grain Yield ◽  
Sowing Date ◽  
Growth And Yield ◽  
Phenological Stages ◽  
Climatic Indices ◽  
Maize Cultivars ◽  
Sowing Dates ◽  
Use Efficiency ◽  
Research Period ◽  
Late Sowing

A field experiment on different maize cultivars planted at different sowing dates were accomplished at Kawasoti-5, Nawalparasi during spring season of 2013 to find suitable sowing date and maize cultivar for the location. Along with this, effect of sowing dates and maize cultivars on different agro-climatic indices were also calculated using formulas. Result showed that RML- 4/RML-17 produced higher kernel rows ear-1 (13.77), kernel per row (30.42) and test weight (244.9 g). Significantly higher grain yield was also found for RML-4/RML-17 (6.03 tha-1) compared to Poshilo makai-1 (4.73 t ha-1), Arun-2 (3.55 t ha-1) and Local (2.92 t ha-1). Earlier sowing date (7th April) produced higher kernel row-1 (27.97), kernel rows ear-1 (12.89) and 1000 grain weight (230 g). Significantly higher grain yield (5.13t ha-1) was obtained in earlier sowing date (7th April). Although the mean ambient temperature during research period was increasing with delayed sowing, days to attain different phenological stages decreased with late sowing. The statistically similar GDD was recorded for different sowing dates and higher PTI values were noticed with delay in planting. Similarly, heat use efficiency (HUE) was found higher in early sowing date. Arun-2 had small reduction in HUE so, it can be considered stable and best cultivar among the tested cultivars.

scholarly journals Effect of Date of Sowing on the Performance of Drought Tolerant Wheat Genotypes to Spot Blotch at Rampur, Chitwan , Nepal

2013 ◽  
Vol 1 (4) ◽  
pp. 266-271
Author(s):  
L. Aryal ◽  
S. M. Shrestha ◽  
G. B. K.C.
Keyword(s):  
Field Experiment ◽  
Grain Yield ◽  
Spot Blotch ◽  
Kernel Weight ◽  
Wheat Genotypes ◽  
Drought Tolerant ◽  
Sowing Dates ◽  
Main Factors ◽  
Late Sowing ◽  
Plot Design

A research was conducted in field to elucidate the response of 20 twenty drought tolerant wheat genotypes to spot blotch. Field experiment was carried out in Agronomy block of IAAS, Rampur, Chitwan in split plot design with three replications, considering 25 November as normal sowing and 15 December as late sowing dates taking them as main factors and genotypes as sub factors. Grain yield was 2.50 t ha-1 on 25 November sowing and 2.03 t ha-1 on 15 December sowing. Similarly thousand kernel weight was 37.50 g on 25 November sowing and 32.82 g on 15 December sowing.  Aditya, CSISA DRYT 5204 and CSISA DRYT 5205 had less than 13% grain yield and TKW reduction when sown in late condition also. From the experiment it is concluded that these three genotypes can be sown in late condition as they were resistant to spot blotch and heat stress.DOI: http://dx.doi.org/10.3126/ijasbt.v1i4.9180 Int J Appl Sci Biotechnol, Vol. 1(4): 266-271

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