Combining Ability Analysis of Yield Components in Cucumber

Three U.S.-adapted Cucumis sativus var. sativus L. lines and one C. sativus var. hardwickii (R.) Alef.-derived line were crossed in a half-diallel design to determine their combining ability for several yield-related traits (yield components). Six F1 progenies were evaluated in a randomized complete block design with eight replications in 1999 and 2000 for fruit number and length/diameter ratio (L:D), lateral branch number, number of female flowering nodes, and days to anthesis. Combining ability was significantly influenced (p < 0.05) by year for most of the horticultural traits examined. General combining ability (GCA) was significant for all traits in each year. Specific combining ability (SCA) was significant in magnitude and direction for only fruit number and days to anthesis. Data indicate that the C. sativus var. hardwickii-derived inbred line WI 5551 possessed SCA for yield component traits, and thus maybe useful for improving fruit yield in commercial cucumber.

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Combining ability and heterosis studies across environments in linseed (Linum usitatissimum L.)

Acta Agronomica Hungarica ◽

10.1556/aagr.59.2011.1.9 ◽

2011 ◽

Vol 59 (1) ◽

pp. 87-102 ◽

Cited By ~ 3

Author(s):

S. Sood ◽

N. Kalia ◽

S. Bhateria

Keyword(s):

Seed Yield ◽

Linum Usitatissimum ◽

Combining Ability ◽

Yield Components ◽

Block Design ◽

Linum Usitatissimum L ◽

Randomized Block Design ◽

Component Traits ◽

Parental Lines ◽

Fibre Yield

Combining ability and heterosis were calculated for fourteen lines of linseed in a line × tester mating design using twelve lines and two diverse testers in two different environments. The hybrids and parental lines were raised in a completely randomized block design with three replications to investigate seed and fibre yield and their component traits. Genetic variation was significant for most of the traits over environments. Combining ability studies revealed that the lines KL-221 and LCK-9826 were good general combiners for seed yield and most of its components, whereas LMH-62 and LC-2323 were good general combiners for yield components only. Moreover, KL-221 was also a good general combiner for fibre yield. Similarly, B-509 and Ariane were good general combiners for fibre yield and most of its components. Among the specific cross combinations, B-509 × Flak-1 was outstanding for seed yield per plant and B-509 × KL-187 and LC-2323 × LCK-9826 for fibre yield per plant, with high SCA effects. In general, the hybrids excelled their respective parents and the standard checks for most of the characters studied. Based on the comparison of mean performance, SCA effects and the extent of heterosis, the hybrids LC-2323 × LCK-9826 and B-509 × KL-221 appeared to be the most promising for both seed and fibre yield. Other promising combinations were LC-2323 × KL-210 and B-509 × Ariane for seed and fibre yield, respectively. The superiority of LC-2323, LCK-9826, KL-221, B-509 and Ariane as good general combiners was further confirmed by the involvement of these parents in the desirable cross combinations.

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Diallel cross among fresh market tomato inbreeding lines

Horticultura Brasileira ◽

10.1590/s0102-05362012000200011 ◽

2012 ◽

Vol 30 (2) ◽

pp. 246-251 ◽

Cited By ~ 11

Author(s):

Lívia M de Souza ◽

Maria Elisa AGZ Paterniani ◽

Paulo César T de Melo ◽

Arlete MT de Melo

Keyword(s):

Combining Ability ◽

Yield Components ◽

Block Design ◽

Diallel Cross ◽

Fruit Yield ◽

Soluble Solids ◽

Width Ratio ◽

Parental Line ◽

Fresh Market ◽

Fruit Number

The general combining ability (GCA), specific combining ability (SCA), and heterosis were studied in a complete diallel cross among fresh market tomato breeding lines with reciprocal excluded. Fifteen genotypes (five parents and ten hybrids) were tested using a randomized complete block design, with three replications, and the experiments were conducted in Itatiba, São Paulo state, Brazil, in 2005/06. The yield components evaluated were fruit yield per plant (FP), fruit number per plant (FN), average fruit weight (FW); cluster number per plant (CN); fruit number per cluster (FC), fruit wall thickness (FT) and number of locules per fruit (NL). Fruit quality components evaluated were total soluble solids (SS); total titratable acidity (TA); SS/TA ratio, fruit length (FL); fruit width (WI); length to width ratio (FL/WI). The data for each trait was first subjected to analysis of variance. Griffing's method 2, model 1 was employed to estimate the general (GCA) and specific (SCA) combining abilities. Parental and hybrid data for each trait were used to estimate of mid-parent heterosis. For plant fruit yield, IAC-2 was the best parental line with the highest GCA followed by IAC-4 and IAC-1 lines. The hybrids IAC-1 x IAC-2, IAC-1 x IAC-4 and IAC-2 x IAC-4 showed the highest effects of SCA. High heterotic responses were found for fruit yield and plant fruit number with values up to 49.72% and 47.19%, respectively. The best hybrids for fruit yield and plant fruit number were IAC-1 x IAC-2, IAC-1 x IAC-4 and IAC-2 x IAC-5, for fruit yield and plant fruit number, the main yield components.

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

Bulletin of the National Research Centre ◽

10.1186/s42269-021-00622-x ◽

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.

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Varietal Evaluation and Clustering of Early Maize Genotypes in Mid-Western Hilly Region of Nepal

Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca Agriculture ◽

10.15835/buasvmcn-agr:2020.0014 ◽

2020 ◽

Vol 77 (2) ◽

pp. 24

Author(s):

Bishnu Prasad KANDEL

Keyword(s):

Genetic Diversity ◽

Block Design ◽

Yield Component ◽

Research Station ◽

Maize Genotypes ◽

Hilly Region ◽

Randomized Complete Block Design ◽

Component Traits ◽

Yield Component Traits ◽

Selection Of

Eleven early maize (Zea mays) genotypes were evaluated for their yield and yield component traits at the research block of Regional Agriculture Research Station (RARS) Lumle, Kaski, Nepal during Kharif season of 2016. The experiment was laid out in randomized complete block design (RCBD) with three replications. Results showed that all the studied genotypes differed significantly for grain yield as well as other yield component traits except number of kernel per row. Out of tested genotypes COMPOZ-NIPB, EEYC1, POP-445/POP-446 were three top performer genotypes yielding 6.89, 5.38 and 5.19 t ha-1. Early mid Katamari, Rajahar local, Manakamana-5, EEYC1 were statistically at par with Arun-4(standard check) and will be needed further evaluation and improvement by a selection of desirable traits. Eleven genotypes occupied three different clusters and showed that early maize genotypes suggest considerable genetic diversity among themselves. Genotypes belong to cluster one having the highest yield potentials so need to be further evaluation in different location of mid hill and recommended best variety for that domain.

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Heterosis and combining ability for grain yield and yield component traits of maize in Eastern Ethiopia

Science Technology and Arts Research Journal ◽

10.4314/star.v4i3.5 ◽

2016 ◽

Vol 4 (3) ◽

pp. 32 ◽

Cited By ~ 2

Author(s):

Habtamu Zeleke

Keyword(s):

Grain Yield ◽

Combining Ability ◽

Yield Component ◽

Eastern Ethiopia ◽

Component Traits ◽

Yield Component Traits

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Stability analysis for various quantitative traits insoybean [Glycine max (L.) merrill]

Legume Research - An International Journal ◽

10.18805/lr.v0iof.11185 ◽

2016 ◽

Author(s):

Gunjan Tiwari ◽

Kamendra Singh ◽

Pushpendra ◽

N. K. Singh

Keyword(s):

Quantitative Traits ◽

Block Design ◽

Yield Component ◽

Genotype X Environment ◽

Stability Performance ◽

Randomized Complete Block Design ◽

Component Traits ◽

Glycine Max L ◽

Per Se ◽

Yield Component Traits

The present investigation was carried out to study stability performance over twelve environments for yield and yield contributing characters in twenty two genetically diverse genotypes of soybean using a randomized complete block design. The partitioning of (environment + genotype x environment) mean squares showed that environments (linear) differed significantly and were quite diverse with regards to their effects on the performance of genotypes for yield and its components. Stable genotypes were identified for wider and specific environments with high per se performance (over general mean) for majority of yield component traits. The investigation revealed that the genotypes ABL 55, ABL 20, ABL 62 and ABL 45 were desirable and stable across the environments for different yield contributing traits. Other genotypes ABL 43 and ABL 17 were found to be suitable for favourable situations, while genotypes ABL19 were adapted to poor environments for yield and majority of yield contributing traits.

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

Australian Journal of Agricultural Research ◽

10.1071/ar07163 ◽

2008 ◽

Vol 59 (2) ◽

pp. 189 ◽

Cited By ~ 25

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.

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

Theoretical and Applied Genetics ◽

10.1007/s00122-021-03806-1 ◽

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.

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