scholarly journals Performance of Some Soybean Genotypes (Glycine max L.) to Germination and Seedling Characters as Affected by Planting Dates and Phosphorus Fertilization

2017 ◽  
Vol 2 (6) ◽  
pp. 3192-3201
Author(s):  
Kandil A.A. ◽  
A.E. Sharief ◽  
A.N. Ramadan
Keyword(s):  
Glycine Max ◽  
Phosphorus Fertilization ◽  
Planting Dates ◽  
Soybean Genotypes ◽  
Glycine Max L ◽  
Seedling Characters

scholarly journals Evaluación de un Modelo de Simulación de Crecimiento Aplicado a Genotipos de Soya (Glycine max. L. Merr) bajo Condiciones Tropicales

1996 ◽  
Vol 1 (1) ◽  
pp. 16
Author(s):  
Leonardo Rey ◽  
Yamel Lopez ◽  
Alejandro Jaramillo ◽  
Jeffery W. White
Keyword(s):  
Glycine Max ◽  
Simulation Model ◽  
Research Centre ◽  
Planting Dates ◽  
Growth Simulation ◽  
Tropical Conditions ◽  
Soybean Genotypes ◽  
Plant Densities ◽  
Glycine Max L ◽  
Crop Growth Simulation

<p>El modelo de simulación de crecimiento y producción de soya (Glycine max. (L) Merr) Soygro V5-42, fué validado a nivel del trópico con datos experimentales de un ensayo en el cual se evaluaron dos genotipos Soyica P-33 e ICA-Ariarii-1, con diferente hábito de crecimiento, bajo dos densidades de plantas, en el Centro de Investigación Palmira de la Corporación Colombiana de Investigación Agropecuaria Corpoica, localizado a 3°32' de latitud norte y 76°17' de longitud oeste, en un Mollisol, clasificado como Isohipertérmico Aquico Hapludoll. Las salidas del modelo fueron sensibles a los ajustes en trece coeficientes genéticos, los cuales se calibraron sistemática e iterativamente. La calibración del modelo presentó una estrecha relación entre lo observado y lo simulado para las principales variables de respuesta. Su validación con base en datos de experimentos de campo anteriores, presentó una relación muy estrecha R&gt; = o.86, entre lo observado y lo simulado; lo cual indicó, que el modelo explica acertadamente la variación en las épocas de siembra y las densidades de plantas. Como resulta do de la simulación del efecto de las épocas de siembra con variaciones de clima, bajo diferentes ambientes (3 localidades), se encontró que el modelo se ajusta a las condiciones de siembra utilizadas por los agricultores en Colombia.</p><p> </p><p><strong>Evaluation of a Growth Simulation Model Applied to Soybean Genotypes (<em>Glycine </em><em>max</em><em>.</em>L. Merr) Under Tropical Conditions</strong></p><p>The crop growth simulation model of soybean ( <em>Glycin</em><em>e </em><em>max </em>(L) Merr) Soygro V5.42, was tested under tropical conditions, using experimenta l data from a field experiment in which two genotypes (Soyica P-33 and Soyica Ariari-1) with different growth h abit, were grown under two plant densities, at the Palmira Research Centre of the Corporación Colombiana de Investigación Agrop ecua ria, located at 3°32' north latitude and 76°17' west longitude, on a Mollisol soil classified as Isohyperterthermic Aquic Hapludoll. Thirtheen genetic coefficients were calibrated and showed sensitivity to the model. The validation of the model was made using previous experimental data from the same genotypes. The narrow line observed vs predicted seed yield was close to the 1:1 slope, indicating that, the simulating was not skewed. Thus, the model explained well the variation due to planting dates and plant spatial distribution in the field. The simulation of planting dates effects in relation to climatic variation at three different soybean production regions, is in agreement with the traditional planting dates used by the soybean growers of Colombia.</p>

Assessment of Yield and Yield Component of Soybean Genotypes (Glycine Max L.) in North of Khuzestan

2018 ◽  
Vol 21 (5) ◽  
pp. 435-441 ◽  
Author(s):  
Sina Ghanbari ◽  
Ahmad Nooshkam ◽  
Barat Ali Fakheri ◽  
Nafiseh Mahdinezhad
Keyword(s):  
Glycine Max ◽  
Yield Component ◽  
Soybean Genotypes ◽  
Glycine Max L

scholarly journals Evaluation of genetic diversity in 19 Glycine max (L.) Merr. accessions included in the Czech National Collection of soybean genotypes

2012 ◽  
Vol 38 (No. 2) ◽  
pp. 69-74 ◽  
Author(s):  
M. Baránek ◽  
M. Kadlec ◽  
J. Raddová ◽  
M. Vachůn ◽  
M. Pidra
Keyword(s):  
Genetic Diversity ◽  
Glycine Max ◽  
Random Amplified Polymorphic Dna ◽  
Breeding Programs ◽  
Low Level ◽  
Low Degree ◽  
Soybean Genotypes ◽  
Glycine Max L ◽  
Rapd Polymorphism ◽  
Selection Of

The random amplified polymorphic DNA (RAPD) technique was used to evaluate both genetic diversity among 19&nbsp;soybean accessions included in the Czech National Collection of Soybean Genotypes and their potential as a new source of genetic variations for soybean breeding programs. Only 22 of all the 40 random primers used in RAPD reactions showed polymorphism acceptable for an effective characterisation of these accessions. Altogether 122 highly reproducible RAPD fragments were generated, 55 of them were polymorphic (46%). However, because of the previously observed low degree of RAPD polymorphism in the case of Glycine max, fragments with low level of informativeness were evaluated, too. Presented results enable the selection of genetically distinct individuals. Such information may be useful to breeders willing to use genetically diverse introductions in soybean improvement process.&nbsp;

scholarly journals ÉPOCAS DE SEMEADURA E PERÍODOS DE COLHEITA DE SOJA VISANDO PRODUÇÃO DE ÓLEO E PROTEÍNAS

Nativa ◽  
2019 ◽  
Vol 7 (4) ◽  
pp. 376
Author(s):  
João Paulo Alves Calçado ◽  
Joênes Mucci Peluzio ◽  
Flávia Lucila Tonani Siqueira ◽  
Guilherme Benko Siqueira ◽  
Flávio Sergio Aferri ◽  
...  
Keyword(s):  
Glycine Max ◽  
Oil Content ◽  
Protein Production ◽  
Development Stage ◽  
Low Latitude ◽  
Soybean Cultivars ◽  
Soybean Genotypes ◽  
Glycine Max L ◽  
Sowing Season ◽  
Harvest Delay

O presente trabalho foi realizado com o objetivo de avaliar os teores de óleo e proteína dos grãos em cultivares de soja em função do retardamento da colheita e verificar a influência da época de semeadura sob condições de baixa latitude. No ano agrícola de 2015/16, foram realizados dois ensaios de competição de cultivares de soja em Palmas-TO, sendo o primeiro instalado em 17 de dezembro de 2015 e o segundo em 04 de janeiro de 2016. O delineamento experimental utilizado em cada época de semeadura foi de blocos casualizados com setenta tratamentos e cinco repetições. Os tratamentos foram dispostos em um esquema de parcelas subdivididas, representados por dez genótipos de soja (PRISMA, TMG 132 RR, M 8647 RR, M 8372 RR, BONUS, RAÇA, ST 820 RR, OPUS, TMG 1180 RR e M 9144 RR), nas parcelas, e por sete estádios de colheita dos grãos (R6, R7, R8, R8+7, R8+14, R8+21 e R8+28 dias), nas subparcelas. Houve efeito das épocas de plantio e dos estádios de colheita nos teores de óleo e proteína dos grãos. As cultivares apresentaram comportamentos diferenciados nas duas épocas de semeaduras, a cultivar M9144 RR obteve um crescente aumento nos teores de proteína na segunda época com retardamento da colheita dos grãos. A partir do estádio R8 de desenvolvimento, o teor de óleo nos grãos de três cultivares foi maior na primeira época de semeadura. Na segunda época, quatro cultivares mostram aumento no teor de óleo a partir de R8.Palavras-chave: Glycine Max L.; retardamento; composição química dos grãos. EPOCH AND AFTER DELAYED OF SOYBEAN HARVEST VISUALIZING OIL AND PROTEIN PRODUCTION  ABSTRACT: The present work was carried out with the objective of evaluate the oil and protein contents of the grains in soybean cultivars as a function of the harvest delay and to verify the influence of the sowing season under conditions in low latitude. In the agricultural year 2015/16, two competition trials of soybean cultivars were carried out in Palmas-TO, the first one being installed on December 17, 2015 and the second on January 4, 2016. The experimental design used at each time were randomized blocks with seventy treatments and five replications. The treatments were arranged in a scheme of subdivided plots, represented by ten soybean genotypes (PRISMA, TMG 132 RR, M 8647 RR, M 8372 RR, BONUS, RAÇA, ST 820 RR, OPUS, TMG 1180 RR e M 9144 RR, on the plots, and seven stages of grain harvest (R6, R7, R8, R8+7, R8+14, R8+21 e R8+28 dias) in the subplots. There was an effect of planting times and harvest stages on the oil and protein contents of the grains. The cultivars presented different behaviors in the two sowing seasons; the cultivar M9144 RR obtained an increasing increase in the protein content in the second season with grain harvest delay. From the R8 development stage, the oil content in the grains of three cultivars was higher in the first sowing season. In the second season, four cultivars show an increase in oil content from R8.Keywords: Glycine max L.; retardation; chemical composition of grains.

scholarly journals GROWTH AND PHYSIOLOGICAL CHARACTERISTICS OF SOYBEAN GENOTYPES (Glycine max L.) TOWARD SALINITY STRESS

2014 ◽  
Vol 36 (3) ◽  
Author(s):  
Nurul Aini ◽  
Syekhfani Syekhfani ◽  
Wiwin Sumiya Dwi Yamika ◽  
Runik Dyah P. ◽  
Adi Setiawan
Keyword(s):  
Glycine Max ◽  
Salinity Stress ◽  
Physiological Characteristics ◽  
Soybean Genotypes ◽  
Glycine Max L

Biomass and nutritive value of forage soybean lines [Glycine max L. (Merr.)] in northwestern Puerto Rico.

1969 ◽  
Vol 99 (1) ◽  
pp. 19-36
Author(s):  
Alfredo Aponte ◽  
Elide Valencia-Chin ◽  
James Beaver
Keyword(s):  
Glycine Max ◽  
Chemical Composition ◽  
Nutritive Value ◽  
Neutral Detergent Fiber ◽  
Soybean Line ◽  
Planting Dates ◽  
Temperature And Precipitation ◽  
Two Factors ◽  
Principal Factors ◽  
Glycine Max L

Ten lines of forage soybean [Glycine max L. (Merr.)] were evaluated using two planting dates (PD) in September and January; and two crop harvest physiological stages (CHPS), R2 (full bloom) and R5.4 (most pods 51 to 75% full), a total area of 496 m2 with an Oxisol soil, under conditions of temperature and precipitation not limiting crop growth. The experimental design was one of split plots in randomized complete blocks, PD constituting the complete plots, CHPS the subplots, and soybean lines the sub-subplots. Dry matter yields (DMY) were higher (P menor que 0.01) for R5.4 than R2 (6,452 vs. 5,436 kg/ha), fluctuated (P menor que 0.058) from 5,300 to 6,573 kg/ha among the soybean lines and did not differ between the two PD. Plant populations were about 260,000 kg/ha and were not affected by the three principal factors. Plant height varied (P menor que 0.01) from 84.2 to 93.2 cm among the soybean lines; differed (P menor que 0.05) between the two PD (89.2 cm, September vs. 87.5 cm, January) and (P menor que 0.01) between the two CHPS (72.4 cm, R2 vs. 104.3 cm, R5.4); and was also affected by all of the double and the triple interactions of the three factors. The proportion of leaf in the total DM favored (P menor que 0.01) R2 over R5.4 (44.1 vs. 41.1%) and involved an interaction (P menor que 0.05) of CHPS x soybean line. Regarding the chemical composition of the forage, crude protein (CP) varied among the soybean lines (P menor que 0.05) and between the CHPS (P menor que 0.01) and was affected (P menor que 0.01) by an interaction of these two factors (29.6 to 33.6, R2 and 23.1 to 26.7, R5.4). Acid detergent fiber (ADF) behaved like a CP with respect to significance of the independent variables (21.0 to 25.6, R2 and 26.2 to 33.3, R5.4); whereas neutral detergent fiber (NDF) did not differ among soybean lines, but was higher (P menor que 0.01) for R5.4 than for R2 (41.0 vs. 33.5), and involved an interaction (P menor que 0.01) of CHPS x soybean line. It is concluded that, according to both agronomic characteristics and chemical composition, all the soybean lines evaluated performed adequately, but SF-6, SF-24, SF-50, SF-88 and SF-110 outperformed SF-1, SF-2, SF-22, SF-57 and SF-72; harvest at the R5.4 stage was advantageous in achieving greater DMY without unduly sacrificing the excellent chemical composition of R2 forage; and the magnitude of PD effects was not large.

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