Associations of yield and yield components among selected durum wheats (<i>Triticum turgidum</i>L.)

Shimelis, Hussein

doi:10.1080/02571862.2006.10634770

Cited by 7 publications

(5 citation statements)

References 23 publications

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“…Selection on the basis of grain yield alone is usually not eVective and eYcient, whereas selection along with its component characters could be more eYcient and reliable. Consequently, information on the association between yield and yield components and among the component characters themselves can improve the eYciency of selection in plant breeding programs (Muhammad et al 1994;Shimelis 2006). The objectives of this study were to determine combining ability and association of yield and yield components among cross-combinations of seven selected cowpea [V. unguiculata (L.) Walp] parents.…”

Section: Introductionmentioning

confidence: 99%

Combining ability analysis and association of yield and yield components among selected cowpea lines

2007

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The study was carried out to determine combining ability and association of yield and yield components among crosses derived from seven selected cowpea (Vigna unguiculata (L.) Walp) parents. Twenty-one hybrids were generated from diallel crosses excluding reciprocals. Hybrids along with seven parents were studied for combining ability and phenotypic correlations for seed yield and eight yield components. The result indicated that the general combining ability (gca) and speciWc combining ability (sca) were signiWcant for most characters indicating the importance of both additive and non-additive genetic components. Additive gene action was important for eight characters except pod number, whereas non-additive gene action was not important for nodule number and grain yield. Parental lines IT86D-716 and IT81D-985 were found to be good general combiners for grain yield and other traits. The most promising speciWc combiners for yield and yield components were from crosses including IT87D-697-2 £ IT86D-716, IT88D-867-11 £ IT86D-716, IT93K-624 £ IT87D-697-2, and IT87D-697-2 £ IT92KD-405-1. SigniWcant positive phenotypic correlations were observed between seed yield with pod length (POL), number of pods per plant (PON), and number of seeds per pod (SPD). POL, pod number per plant, SPD, and grain yield were identiWed as the best selection criteria that could be used in cowpea breeding programs.

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Section: Introductionmentioning

confidence: 99%

Combining ability analysis and association of yield and yield components among selected cowpea lines

2007

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“…In terms of bread wheat yielding capacity increment in breeding programs, the investigation of direct and indirect impact of various characteristics on yield is of major importance (MOHAMMADI et al, 2012). SHIMELIS et al (2006) reported that grain weight per spike and number of spikelet per spike had the most direct and positive effect on grain yield. ZECEVIC et al (2004) obtained by path analysis that the spike length through number of spikelet per spike had the highest positive indirect effect on grain weight per plant.…”

Section: Introductionmentioning

confidence: 99%

Variability, correlation, path analysis and stepwise regression for yield components of different wheat genotypes

et al. 2018

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In order to evaluate the variability and relationship between different wheat yield components, a randomized complete block design experiment with ten genotypes of wheat had been carried out during three growing seasons (2010-2012). The number of spikelet per spike and grain weight per spike had low genotypic and phenotypic variability, while plant height had the highest one. High heritability was observed for plant height (h 2 =93.1%), spike length (h 2 =92.3%) and spike density (h 2 =92.9%). The low heritability was found for grain weight per spike (h 2 =35.6%). Grain weight per spike was in significant positive genotypic and phenotypic correlation with all the traits (plant height, spike height, number of spikelet per spike, number of grain per spike and spike weight) except spike density. The spike weight had the highest phenotypic (r p =0.988), while number of spikelet per spike had the highest genotypic correlation with grain weight per spike (r g =0.981). Path coefficient analysis revealed that all the traits had highly significant direct effect on grain weight per spike, except spike length. The stepwise regression revealed that 87.1% of the grain weight per spike variation was explained by model which excludes spike length. Spike weight and plant height had the highest shared and unique contribution to grain weight per spike.

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“…The knowledge of genetic variability for agronomic traits is the key component in selecting rational parents for hybridization breeding [ 9 ]. Plant height, flag leaf area, peduncle length, spike length, spikelet count per spike, spike count per plant and spike weight are the major components of plant yield selection criteria in breeding, which were observed to be significant genotypic variation in many crops [ 10 , 11 ]. These variations might due to the effect of genotype and environment [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

Association Analysis of Simple Sequence Repeat (SSR) Markers with Agronomic Traits in Tall Fescue (Festuca arundinacea Schreb.)

Lou

Chen

et al. 2015

PLoS ONE

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Tall fescue is widely used in temperate regions throughout the world as a dominant forage grass as well as a turfgrass, in pastoral and turf industry. However, the utilization of tall fescue was limited because of its leaf roughness, poor regeneration ability and poor stress resistance. New cultivars were desirable in modern pastoral industries exceed the potential of existing cultivars. Therefore, well understanding the agronomic traits and describing germplasms would help to overcome these constraints, and morphological evaluation of tall fescue germplasm is the key component in selecting rational parents for hybridization breeding. However, describing the morphological traits of tall fescue germplasm is costly and time-consuming. Fortunately, biotechnology approaches can supplement conventional breeding efforts for tall fescue improvement. Association mapping, as a powerful approach to identify association between agronomic traits and molecular markers has been widely used for enhancing the utilization, conservation and management of the tall fescue germplasms. Therefore, in the present research, 115 tall fescue accessions from different origins (25 accessions are cultivars; 31 accessions from America; 32 accessions from European; 7 accessions from Africa; 20 accessions from Asia), were evaluated for agronomic traits and genetic diversity with 90 simple sequence repeat (SSR) markers. The panel displayed significant variation in spike count per plant (SCP) and spike weight (SW). However, BCS performed the lowest CV among all the observed agronomic traits. Three subpopulations were identified within the collections but no obvious relative kinship (K) was found. The GLM model was used to describe the association between SSR and agronomic traits. Fifty-one SSR markers associated with agronomic traits were observed. Twelve single-associated markers were associated with PH; six single-associated markers were associated with BCS; eight single-associated markers were associated with SW; five single-associated markers were associated with SC; seven single-associated markers were associated with SCP; three single-associated markers were associated with SL. Especially, we observed that the genetic variation of SW was explained 11.6 % by M37 marker. It is interesting to observe that nine markers (M1, M2, M35, M54 marker was associated with both BCS and SC; M3, M4 markers were associated with BCS, SW, and SC; M19 marker was associated with both pH and PD, M40 marker was associated with both SCP and SW; and M193 marker was associated with both PH and SL) were associated with more than two agronomic traits. Notably, Branch count per spike (BCS) was explained by four markers (M1, M2, M3, and M4) exceeding 10 %. These identified marker alleles associated with agronomic traits could provide important information and markers for molecular-assisted breeding that facilitate the breeding process in tall fescue.

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Associations of yield and yield components among selected durum wheats (Triticum turgidumL.)

Cited by 7 publications

References 23 publications

Combining ability analysis and association of yield and yield components among selected cowpea lines

Combining ability analysis and association of yield and yield components among selected cowpea lines

Variability, correlation, path analysis and stepwise regression for yield components of different wheat genotypes

Association Analysis of Simple Sequence Repeat (SSR) Markers with Agronomic Traits in Tall Fescue (Festuca arundinacea Schreb.)

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