scholarly journals Synergistic effect of P and K interaction on yield and yield components of mungbean (Vigna radiata (L.) Wilczek) varieties

2021 ◽  
Vol 45 (1) ◽  
Author(s):  
E. M. Abd El Lateef ◽  
Asal M. Wali ◽  
M. S. Abd El-Salam
Keyword(s):  
Synergistic Effect ◽  
Seed Yield ◽  
Yield Components ◽  
Field Experiments ◽  
Fertilizer Application ◽  
Yield Component ◽  
Beneficial Effects ◽  
Yield And Yield Components ◽  
Component Traits ◽  
Yield Component Traits

Abstract Background The relation between the macronutrients P and K seems to be synergistic due to the beneficial effects of the interaction between (P × K) and varies according to the variety used. Therefore, two field experiments were conducted during 2018 and 2019 summer seasons to study the effect of interaction of phosphatic fertilization at 0, 37.5 and 75 kg P2O5 ha−1 and potassic fertilization at 0 and 57.6 kg K2O ha−1 on the yield and yield components of two mungbean varieties, viz. Kawmy-l and V2010, as well as determining the relationship between the two nutrients interaction. Results The results showed that there were varietal differences in yield and yield components regardless fertilizer application. Either phosphatic or potassic fertilization significantly increased mungbean yield and yield components traits. Significant effects due to the interaction (V × P) were reported on yield component traits in both seasons. Furthermore, the triple interaction (V × P × K) indicates that synergistic effect was reported for the two varieties and was more clearer for V2010 where it needed both of P and K nutrients to out yield the greatest seed yield ha−1, while Kawmy-1 gave the greatest seed yield ha−1 without K application. Conclusion It could be concluded from this study that mungbean varieties differ in their response to the synergistic interaction effect of P and K and the combination of 75 kg P2O5 + 57.6 kg K2O is preferable for V2010 and 75 kg P2O5 alone for Kawmy-1 to produce the greatest yield.

scholarly journals Response of Groundnut (Arachis hypogaea L.) Genotypes to Combined Application of Phosphorus and Foliar Zinc Fertilizers in Central Tigray, Ethiopia 

2020 ◽  
Author(s):  
Hintsa Meresa Berhe ◽  
Dereje Assefa Abera ◽  
Yemane Tsehaye Yemane
Keyword(s):  
Protein Content ◽  
Seed Yield ◽  
Fat Content ◽  
Yield Component ◽  
Strong Positive Correlation ◽  
Combined Application ◽  
Loamy Sand Soil ◽  
Component Traits ◽  
Main Plot ◽  
Yield Component Traits

Abstract Background:Objective of the study was to investigate the response of groundnut genotypes to combined application of phosphorus and zinc on yield and nutritional contents. A field experiment was conducted at Sheka-Tekli in 2017/18 cropping season. Methods:The treatments were consisted of three groundnut genotypes (ICGV00308, ICGV91114 and Sedi) as main plot and four combined PZn fertilizer levels (00), 10 kg P/ha +0.50 g Zn/L, 20 kg P/ha +1 g Zn/L and 30 kg P/ha+1.5 g Zn/L as sub plot were assigned in split plot design with tree replications.Result: The result indicated that yield and yield components respond significantly to the main and interaction effects. The highest significant seed yield (2,529 kg/ha) and protein content (37.79%) were obtained in response to the application of P30Zn1.5 fertilizer on sedi variety in the loamy sand soil The percentage of crude protein and fat content had significantly affected by interaction components. Most of the yield component traits showed strong positive correlation with seed yield. While the lowest seed yield was recorded from ICGV00308 without fertilizer. The highest fat content (43.95%) was gained from genotype ICGV00308 at P30Zn1.5 fertilizer. From the interaction of sedi with P30Zn1.5 fertilizer was recorded highest protein content. Based on economic analysis the highest MRR (380.58%) was obtained from ICGV00308 genotype at P10Zn0.5 fertilizer. Conclusion: From the result of the study, application of PZn fertilizer increases seed yield of groundnut. Therefore, based on the MRR result ICGV00308 genotype at P10Zn0.5 fertilizer was optimum for groundnut production in the study area and similar agro-ecologies.

Genetic analysis of grain yield conditioned on its component traits in rice (Oryza sativa L.)

2008 ◽  
Vol 59 (2) ◽  
pp. 189 ◽  
Author(s):  
G. F. Liu ◽  
J. Yang ◽  
H. M. Xu ◽  
Y. Hayat ◽  
J. Zhu
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Genetic Relationships ◽  
Mapping Method ◽  
Yield Component ◽  
Doubled Haploid Population ◽  
Environment Interaction ◽  
Panicle Number ◽  
Component Traits ◽  
Yield Component Traits

Grain yield (GY) of rice is a complex trait consisting of several yield components. It is of great importance to reveal the genetic relationships between GY and its yield components at the QTL (quantitative trait loci) level for multi-trait improvement in rice. In the present study, GY per plant in rice and its 3 yield component traits, panicle number per plant (PN), grain number per panicle (GN), and 1000-grain weight (GW), were investigated using a doubled-haploid population derived from a cross of an indica variety IR64 and a japonica variety Azucena. The phenotypic values collected from 2 cropping seasons were analysed by QTLNetwork 2.0 for mapping QTLs with additive (a) and/or additive × environment interaction (ae) effects. Furthermore, conditional QTL analysis was conducted to detect QTLs for GY independent of yield components. The results showed that the general genetic variation in GY was largely influenced by GN with the contribution ratio of 29.2%, and PN and GN contributed 10.5% and 74.6% of the genotype × environment interaction variation in GY, respectively. Four QTLs were detected with additive and/or additive × environment interaction effects for GY by the unconditional mapping method. However, for GY conditioned on PN, GN, and GW, 6 additional loci were identified by the conditional mapping method. All of the detected QTLs affecting GY were associated with at least one of the 3 yield components. The results revealed that QTL expressions of GY were contributed differently by 3 yield component traits, and provide valuable information for effectively improving GY in rice.

scholarly journals Response of groundnut (Arachis hypogaea L.) genotypes to combined application of phosphorus and foliar zinc fertilizers in Central Tigray, Ethiopia

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Hintsa Meresa ◽  
Dereje Assefa ◽  
Yemane Tsehaye
Keyword(s):  
Protein Content ◽  
Seed Yield ◽  
Fat Content ◽  
Yield Component ◽  
Strong Positive Correlation ◽  
Combined Application ◽  
Loamy Sand Soil ◽  
Component Traits ◽  
Main Plot ◽  
Yield Component Traits

Abstract Background Adequate phosphorus (P) and foliar zinc (Zn) in groundnut required for obtaining Zn-enriched grain and optimum yield. However, it was very low in the area. Due to that objective of the study was to investigate the response of groundnut genotypes to combined application of phosphorus and zinc on yield and nutritional contents. A field experiment was conducted at Sheka-Tekli in 2017/18 cropping season. Methods The treatments were consisted of three groundnut genotypes (ICGV00308, ICGV91114 and Sedi) as main plot and four combined PZn fertilizer levels (00), 10 kg P/ha + 0.50 g Zn/L, 20 kg P/ha + 1 g Zn/L and 30 kg P/ha + 1.5 g Zn/L as sub plot were assigned in split plot design with tree replications. Result The result indicated that yield and yield components respond significantly to the main and interaction effects. The highest significant seed yield (2529 kg/ha) and protein content (37.79%) were obtained in response to the application of P30Zn1.5 fertilizer on sedi variety in the loamy sand soil. The percentage of crude protein and fat content had significantly affected by interaction components. Most of the yield component traits showed strong positive correlation with seed yield. While the lowest seed yield was recorded from ICGV00308 without fertilizer. The highest fat content (43.95%) was gained from genotype ICGV00308 at P30Zn1.5 fertilizer. From the interaction of sedi with P30Zn1.5 fertilizer was recorded highest protein content. Based on economic analysis the highest MRR (380.58%) was obtained from ICGV00308 genotype at P10Zn0.5 fertilizer. Conclusion From the result of the study, application of PZn fertilizer increases seed yield of groundnut. Therefore, based on the MRR result ICGV00308 genotype at P10Zn0.5 fertilizer was optimum for groundnut production in the study area and similar agro-ecologies.

scholarly journals QTL mapping for grain yield and three yield components in a population derived from two high-yielding spring wheat cultivars

2021 ◽  
Author(s):  
Kyle Isham ◽  
Rui Wang ◽  
Weidong Zhao ◽  
Justin Wheeler ◽  
Natalie Klassen ◽  
...  
Keyword(s):  
Grain Yield ◽  
Spring Wheat ◽  
Yield Components ◽  
Heading Date ◽  
Kernel Weight ◽  
Yield Component ◽  
Six Traits ◽  
Component Traits ◽  
Yield Component Traits ◽  
Spikelet Number Per Spike

Abstract Key message Four genomic regions on chromosomes 4A, 6A, 7B, and 7D were discovered, each with multiple tightly linked QTL (QTL clusters) associated with two to three yield components. The 7D QTL cluster was associated with grain yield, fertile spikelet number per spike, thousand kernel weight, and heading date. It was located in the flanking region of FT-D1, a homolog gene of Arabidopsis FLOWERING LOCUS T, a major gene that regulates wheat flowering. Abstract Genetic manipulation of yield components is an important approach to increase grain yield in wheat (Triticum aestivum). The present study used a mapping population comprised of 181 doubled haploid lines derived from two high-yielding spring wheat cultivars, UI Platinum and LCS Star. The two cultivars and the derived population were assessed for six traits in eight field trials primarily in Idaho in the USA. The six traits were grain yield, fertile spikelet number per spike, productive tiller number per unit area, thousand kernel weight, heading date, and plant height. Quantitative Trait Locus (QTL) analysis of the six traits was conducted using 14,236 single-nucleotide polymorphism (SNP) markers generated from the wheat 90 K SNP and the exome and promoter capture arrays. Of the 19 QTL detected, 14 were clustered in four chromosomal regions on 4A, 6A, 7B and 7D. Each of the four QTL clusters was associated with multiple yield component traits, and these traits were often negatively correlated with one another. As a result, additional QTL dissection studies are needed to optimize trade-offs among yield component traits for specific production environments. Kompetitive allele-specific PCR markers for the four QTL clusters were developed and assessed in an elite spring wheat panel of 170 lines, and eight of the 14 QTL were validated. The two parents contain complementary alleles for the four QTL clusters, suggesting the possibility of improving grain yield via genetic recombination of yield component loci.

scholarly journals Yield and yield component performance of soybean promising line in upland during the rainy season

2021 ◽  
Vol 911 (1) ◽  
pp. 012021
Author(s):  
MM Adie ◽  
A Krisnawati
Keyword(s):  
Rainy Season ◽  
Yield Components ◽  
Field Experiments ◽  
Block Design ◽  
Yield Component ◽  
High Yield ◽  
Dry Land ◽  
Yield And Yield Components ◽  
Promising Line ◽  
Number Of Branches

Abstract Soybean development in dry land during the rainy season not only contributes to soybean production but also has the potential to be a source of seeds. The research aimed to identify the yield and yield component performance of soybean promising line at upland in the rainy season. A total of fourteen soybean promising lines and two check cultivars were evaluated for their yield and yield components in Blitar and Malang. The field experiments were conducted in each location during the rainy season 2021 using a randomized block design with four replicates. A significant GEI was found on the plant height, number of branches/plant, number of nodes/plant, number of filled pods/plant, and 100 seed weight. The Blitar location indicated resulting in the optimum yield and yield components of the tested promising lines. The average yield in Blitar was 2.81 t/ha (an average of 2.07 – 3.60 t/ha) and in Malang was 2.16 t/ha (an average of 1.52 – 3.18 t/ha). The number of branches and number of nodes has significant roles in determining the seed yield in soybean. Two genotypes with consistently high yield in Blitar and Malang are recommended to be evaluated in further advanced yield trials in different environments.

scholarly journals Stability analysis for seed yield and yield component traits in ajwain (Trachyspermum ammi L.)

2019 ◽  
Vol 10 (3) ◽  
pp. 1194
Author(s):  
Monika Meena ◽  
Indu Rialch ◽  
Arun Kumar ◽  
R.B. Dubey ◽  
Baudh Bharti ◽  
...  
Keyword(s):  
Stability Analysis ◽  
Seed Yield ◽  
Yield Component ◽  
Trachyspermum Ammi ◽  
Component Traits ◽  
Yield Component Traits
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