scholarly journals Responses of Branch Number and Yield Component of Soybean Cultivars Tested in Different Planting Densities

Agriculture ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 69
Author(s):  
Cailong Xu ◽  
Ruidong Li ◽  
Wenwen Song ◽  
Tingting Wu ◽  
Shi Sun ◽  
...  
Keyword(s):  
Key Management ◽  
Management Practices ◽  
Yield Component ◽  
Planting Density ◽  
Yield Potential ◽  
High Yield ◽  
Branch Number ◽  
Soybean Yield ◽  
Soybean Cultivars ◽  
Pod Number

Increasing planting density is one of the key management practices to enhance soybean yield. A 2-yr field experiment was conducted in 2018 and 2019 including six planting densities and two soybean cultivars to determine the effects of planting density on branch number and yield, and analyze the contribution of branches to yield. The yield of ZZXA12938 was 4389 kg ha−1, which was significantly higher than that of ZH13 (+22.4%). In combination with planting year and cultivar, the soybean yield increased significantly by 16.2%, 31.4%, 41.4%, and 46.7% for every increase in density of 45,000 plants ha−1. Yield will not increase when planting density exceeds 315,000 plants ha−1. A correlation analysis showed that pod number per plant increased with the increased branch number, while pod number per unit area decreased; thus, soybean yield decreased. With the increase of branch number, the branch contribution to yield increased first, and then plateaued. ZH13 could produce a high yield under a lower planting density due to more branches, while ZZXA12938 had a higher yield potential under a higher planting density due to the smaller branch number and higher tolerance to close planting. Therefore, seed yield can be increased by selecting cultivars with a little branching capacity under moderately close planting.

Coordinated Rice Improvement Project in India: Its Significant Achievements and Future prospects

2019 ◽  
Vol 56 (Special) ◽  
pp. 82-91 ◽  
Author(s):  
LV Subba Rao ◽  
RA Fiyaz ◽  
AK Jukanti ◽  
G Padmavathi ◽  
J Badri ◽  
...  
Keyword(s):  
Management Practices ◽  
Crop Productivity ◽  
Yield Potential ◽  
High Yield ◽  
Improvement Project ◽  
Nutritional Security ◽  
Food Grain ◽  
Rice Improvement ◽  
Food And Nutritional Security ◽  
Sincere Effort

India is the second largest producer of rice in the world and it is the most important staple food grain. All India Coordinated Rice Improvement Project (AICRIP) was initiated with objective of conducting multi-location trials to identify suitable genotypes of high yield potential along with appropriate crop management practices. Since its inception AICRIP contributed significantly in meeting the growing demand both within and outside India. Significant progress has been achieved through AICRIP in terms of varietal release thereby increasing the crop productivity and also meeting the food and nutritional security. This paper makes a sincere effort in bringing out the significant achievements/milestones achieved under the AICRIP program and also gives a few directions for widening the areas under AICRIP.

scholarly journals Evaluating Genotype × Environment Interactions of Yield Traits and Adaptability in Rice Cultivars Grown under Temperate, Subtropical and Tropical Environments

Agriculture ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 558
Author(s):  
Xing Huang ◽  
Su Jang ◽  
Backki Kim ◽  
Zhongze Piao ◽  
Edilberto Redona ◽  
...  
Keyword(s):  
Yield Component ◽  
Yield Potential ◽  
High Yield ◽  
Environment Interaction ◽  
Accurate Identification ◽  
Rice Varieties ◽  
Panicle Number ◽  
Tropical Conditions ◽  
Component Traits ◽  
Yield Component Traits

Rice yield is a complex trait that is strongly affected by environment and genotype × environment interaction (GEI) effects. Consideration of GEI in diverse environments facilitates the accurate identification of optimal genotypes with high yield performance, which are adaptable to specific or diverse environments. In this study, multiple environment trials were conducted to evaluate grain yield (GY) and four yield-component traits: panicle length, panicle number, spikelet number per panicle, and thousand-grain weight. Eighty-nine rice varieties were cultivated in temperate, subtropical, and tropical regions for two years. The effects of both GEI (12.4–19.6%) and environment (23.6–69.6%) significantly contributed to the variation of all yield-component traits. In addition, 37.1% of GY variation was explained by GEI, indicating that GY performance was strongly affected by the different environmental conditions. GY performance and genotype stability were evaluated using simultaneous selection indexing, and 19 desirable genotypes were identified with high productivity and broad adaptability across temperate, subtropical, and tropical conditions. These optimal genotypes could be recommended for cultivation and as elite parents for rice breeding programs to improve yield potential and general adaptability to climates.

scholarly journals Yield component variation in winter wheat grown under drought stress

2000 ◽  
Vol 80 (4) ◽  
pp. 739-745 ◽  
Author(s):  
B. L. Duggan ◽  
D. R. Domitruk ◽  
D. B. Fowler
Keyword(s):  
Drought Stress ◽  
Winter Wheat ◽  
Grain Yield ◽  
Triticum Aestivum L ◽  
Yield Component ◽  
Yield Potential ◽  
High Yield ◽  
Crop Water ◽  
Kernel Number ◽  
High Yield Potential

Crops produced in the semiarid environment of western Canada are subjected to variable and unpredictable periods of drought stress. The objective of this study was to determine the inter-relationships among yield components and grain yield of winter wheat (Triticum aestivum L) so that guidelines could be established for the production of cultivars with high yield potential and stability. Five hard red winter wheat genotypes were grown in 15 field trials conducted throughout Saskatchewan from 1989–1991. Although this study included genotypes with widely different yield potential and yield component arrangements, only small differences in grain yield occurred within trials under dryland conditions. High kernel number, through greater tillering, was shown to be an adaptation to low-stress conditions. The ability of winter wheat to produce large numbers of tillers was evident in the spring in all trials; however, this early season potential was not maintained due to extensive tiller die-back. Tiller die-back often meant that high yield potential genotypes became sink limiting with reduced ability to respond to subsequent improvements in growing season weather conditions. As tiller number increased under more favourable crop water conditions genetic limits in kernels spike−1 became more identified with yield potential. It is likely then, that tillering capacity per se is less important in winter wheat than the development of vigorous tillers with numerous large kernels spike−1. For example, the highest yielding genotype under dryland conditions was a breeding line, S86-808, which was able to maintain a greater sink capacity as a result of a higher number of larger kernels spike−1. It appears that without yield component compensation, a cultivar can be unresponsive to improved crop water conditions (stable) or it can have a high mean yield, but it cannot possess both characteristics. Key words: Triticum aestivum L., wheat, drought stress, kernel weight, kernel number, spike density, grain yield

scholarly journals Spatial and Multivariate Analysis of Soybean Yield in the State of Paraná-Brazil

2020 ◽  
Vol 8 (1) ◽  
pp. 387
Author(s):  
Denise Maria Grzegozewski ◽  
Elizabeth Giron Cima ◽  
Miguel Angel Uribe-Opazo ◽  
Luciana Pagliosa Carvalho Guedes ◽  
Jerry Adriani Johann
Keyword(s):  
Vegetation Indices ◽  
Spatial Association ◽  
Grain Filling ◽  
The State ◽  
Yield Potential ◽  
High Yield ◽  
P Value ◽  
Soybean Yield ◽  
Bivariate Correlation ◽  
Critical Phases

In this work, the aim was to evaluate the existence of spatial association of the municipal average official soybean yield (t ha-1) with agrometeorological data and vegetation indices. The information was observed by ten-day periods, in crop years 2010/2011, 2011/2012 and 2012/2013 in the State of Paraná. Local univariate spatial correlation (LISA index), as well as global bivariate correlation (L statistics) were calculated. With this study, we identified neighboring municipalities with high yield in the West as well as municipalities that are located with low-low yield Northwestern, showing positive spatial autocorrelation (IMG=1), significative (p-value < 0.05). In addition, there were differences between seeding times in different regions, and climate irregularity during flowering periods and grain filling in crop year 2011/2012 throughout the state, which caused a large drop in production in all municipalities of the state of Paraná. The analysis of local spatial association showed that in the three crop years, the Northwest region presented a significant low yield potential of soybean (p-value < 0.05). In addition, it was observed that the period from the 3rd ten-day period of October to the 2nd ten-day period of January was essential for the soybean cycle in the different regions of the state, since this period encompasses the critical phases of crop. Differences were also observed between the crop years studied, regarding the agrometeorological variables, which affected soybean yield mainly in the Western region of Paraná – Brazil.

scholarly journals Growth and Yield of Different Varieties of True Shallot Seed on Highland in West Sumatra, Indonesia

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Atman ◽  
Irfan Suliansyah ◽  
Aswaldi Anwar ◽  
Syafrimen Yasin
Keyword(s):  
Block Design ◽  
Yield Component ◽  
Growth And Yield ◽  
Yield Potential ◽  
High Yield ◽  
Randomized Complete Block Design ◽  
West Sumatra ◽  
The Cost ◽  
High Yield Potential

Cultivation of true shallot seeds has the potential to be developed in Indonesia because apart from being able to reduce the cost of providing seeds, it also has higher productivity than shallot from tubers. This study aims to determine the appearance of true shallot seed varieties that have high yield potential in the highlands of West Sumatra. The study used a randomized complete block design (RCBD) with 4 treatments of true shallot seed varieties, namely, Trisula, Bima, Lokananta, and Sanren, with 6 replications. The results showed that except for the age of harvest and the number of tubers per hill, the treatment of various varieties of true shallot seeds showed a significant effect on all observed variables. Lokananta variety has better growth component, yield component, and yields compared to other varieties (Trisula, Bima, and Sanren). Cultivation of true shallot seeds in the highlands gives lower yields than in the adapted area (lowland), except for the Trisula variety. Lokananta variety is recommended for use in the highlands of West Sumatra.

scholarly journals Assessment of the optimum fertilizer rates and planting density for soybean production in China

2019 ◽  
Author(s):  
Jilong Lv ◽  
Ping He ◽  
Dan Wei ◽  
Xinpeng Xu ◽  
Shaojun Qiu ◽  
...  
Keyword(s):  
Fertilization Rate ◽  
Major Effect ◽  
Optimal Rate ◽  
Planting Density ◽  
High Yield ◽  
Soybean Yield ◽  
Factors Affecting ◽  
K Fertilizer ◽  
P Fertilizer ◽  
Effect On Yield

AbstractFertilization rate and planting density are important factors affecting crop yield. A large number of soybean [Glycine max (L.) Merr] field experimental data (1998-2017) were collected through different database sources to evaluate the optimum fertilizer rate and planting density for high yield of spring and summer soybean in China. The yield of spring and summer soybean gradually increased over year, with their average yields were 2610 and 2724 kg ha−1, respectively. Based on the fitted quadratic curve, the optimal rate of nitrogen (N), phosphorus (P), and potassium (K) fertilizers for high yield of summer soybean was 96 kg N ha−1, 80 kg P2O5 ha−1, and 126 kg K2O ha−1, and the corresponding yields were 3038, 2801 and 2305 kg ha−1, respectively. The optimal rate of N, P and K fertilizers for spring soybean was 71 kg N ha-1, 108 kg P2O5 ha-1 and 74 kg K2O ha−1, and the corresponding yields were 2932, 2834 and 2678 kg ha−1, respectively. The optimum density was 27×104 and 34×104 plants ha−1 under high yield for summer and spring soybean, respectively. Stepwise regression analysis showed that the P fertilizer had the greatest influence on the spring soybean yield followed by K fertilizer and planting density. For summer soybean, population density had the major effect on yield followed by P fertilizer. Overall, the P fertilization and planting density should be payed attention to increase soybean yield in different regions of China.

Coordinated Rice Improvement Project in India: Its Significant Achievements and Future prospects

2019 ◽  
Vol 56 (Special Issue) ◽  
pp. 82-91
Author(s):  
LV Subba Rao ◽  
RA Fiyaz ◽  
AK Jukanti ◽  
G Padmavathi ◽  
J Badri ◽  
...  
Keyword(s):  
Management Practices ◽  
Crop Productivity ◽  
Yield Potential ◽  
High Yield ◽  
Improvement Project ◽  
Nutritional Security ◽  
Food Grain ◽  
Rice Improvement ◽  
Food And Nutritional Security ◽  
Sincere Effort

India is the second largest producer of rice in the world and it is the most important staple food grain. All India Coordinated Rice Improvement Project (AICRIP) was initiated with objective of conducting multi-location trials to identify suitable genotypes of high yield potential along with appropriate crop management practices. Since its inception AICRIP contributed significantly in meeting the growing demand both within and outside India. Significant progress has been achieved through AICRIP in terms of varietal release thereby increasing the crop productivity and also meeting the food and nutritional security. This paper makes a sincere effort in bringing out the significant achievements/milestones achieved under the AICRIP program and also gives a few directions for widening the areas under AICRIP.

Using the CSM–CERES–Maize model to assess the gap between actual and potential yields of grain maize

2016 ◽  
Vol 155 (2) ◽  
pp. 239-260 ◽  
Author(s):  
Q. JING ◽  
J. SHANG ◽  
T. HUFFMAN ◽  
B. QIAN ◽  
E. PATTEY ◽  
...  
Keyword(s):  
Grain Yield ◽  
Management Practices ◽  
Maize Yield ◽  
Yield Potential ◽  
High Yield ◽  
Eastern Canada ◽  
Agronomic Management ◽  
Yield Gaps ◽  
Actual Yield ◽  
N Rates

SUMMARYMaize in Canada is grown mainly in the south-eastern part of the country. No comprehensive studies on Canadian maize yield levels have been done so far to analyse the barriers of obtaining optimal yields associated with cultivar, environmental stress and agronomic management practices. The objective of the current study was to use a modelling approach to analyse the gaps between actual and potential (determined by cultivar, solar radiation and temperature without any other stresses) maize yields in Eastern Canada. The CSM–CERES–Maize model in DSSAT v4·6 was calibrated and evaluated with measured data of seven cultivars under different nitrogen (N) rates across four sites. The model was then used to simulate grain yield levels defined as: yield potential (YP), water-limited (YW, rainfed), and water- and N-limited yields with N rates 80 kg/ha (YW, N-80N) and 160 kg/ha (YW, N-160N). The options were assessed to further increase grain yield by analysing the yield gaps related to water and N deficiencies. The CSM–CERES–Maize model simulated the grain yields in the experiments well with normalized root-mean-squared errors <0·20. The model was able to capture yield variations associated with varying N rates, cultivar, soil type and inter-annual climate variability. The seven calibrated cultivars used in the experiments were divided into three grades according to their simulated YP: low, medium and high. The simulation results for the 30-year period from 1981 to 2010 showed that the average YPwas 15 000 kg/ha for cultivars with high yield potential. The YPis generally about 6000 kg/ha greater than the actual yield (YA) at each experimental site in Eastern Canada. Two-thirds of this gap between YPand YAis probably associated with water stress, as a gap of approximately 4000 kg/ha between the YWand the YPwas simulated. This gap may be reduced through crop management, such as introducing irrigation to improve the distribution of available water during the growing season. The simulated yields indicated a gap of about 3000 and 1000 kg/ha between YWand YW,N-80N for cultivars with high YPand low YP, respectively. The gap between YWand YW,N-160N decreased to <2000 kg/ha for high Ypcultivars with little difference for the low Ypcultivars. The different yield gaps among cultivars suggest that cultivars with high YPrequire high N rates but cultivars with low YPmay need only low N rates.

Genetic variability in sunflower cultivars under drought. I. Yield relationships

1986 ◽  
Vol 37 (6) ◽  
pp. 573 ◽  
Author(s):  
E Fereres ◽  
C Gimenez ◽  
JM Fernandez
Keyword(s):  
Field Experiments ◽  
Yield Component ◽  
Yield Potential ◽  
High Yield ◽  
Seed Number ◽  
Water Deficits ◽  
Viable Seeds ◽  
Yield Responses ◽  
Response To Water ◽  
High Yield Potential

Field experiments were conducted between 1981 and 1983 at Cordoba, Spain, to evaluate the yield responses to drought of 53 sunflower genotypes. There was substantial variability among genotypes both in dryland yield and in yield potential, estimated as the yield under frequent irrigation. No association was found between yield potential and the drought susceptibility index, suggesting that drought resistance and high yield potential may be combined in improved sunflower cultivars. Water deficits reduced harvest index (HI) in all genotypes but the decrease in HI varied among genotypes. Excellent correlations were found between HI and grain yield under dryland conditions for genotypes with similar length of season. The reduction in HI due to water deficits was mostly due to adjustments in seed number with less variation in individual seed weight. In turn, the reduction in seed number was due to a combination of reduced head size and of the area having viable seeds. The length of season of the genotypes apparently affected the yield component adjustments in response to water deficits.

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