Variability, correlation, path analysis and stepwise regression for yield components of different wheat genotypes
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Matković Stojšin, Mirela
Zečević, Veselinka

Petrović, Sofija
Dimitrijević, Miodrag
Mićanović, Danica
Banjac, Borislav

Knezević, Desimir

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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 a...nalysis 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.
Keywords:
yield components / wheat / variability / heritability / correlationSource:
Genetika-Belgrade, 2018, 50, 3, 817-828Publisher:
- Društvo genetičara Srbije, Beograd
Funding / projects:
DOI: 10.2298/GENSR1803817M
ISSN: 0534-0012
WoS: 000457340900005
Scopus: 2-s2.0-85059556556
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Istraživačko razvojni institut TAMIŠTY - JOUR AU - Matković Stojšin, Mirela AU - Zečević, Veselinka AU - Petrović, Sofija AU - Dimitrijević, Miodrag AU - Mićanović, Danica AU - Banjac, Borislav AU - Knezević, Desimir PY - 2018 UR - https://intam.institut-tamis.rs/handle/123456789/183 AB - 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. PB - Društvo genetičara Srbije, Beograd T2 - Genetika-Belgrade T1 - Variability, correlation, path analysis and stepwise regression for yield components of different wheat genotypes EP - 828 IS - 3 SP - 817 VL - 50 DO - 10.2298/GENSR1803817M UR - conv_172 ER -
@article{ author = "Matković Stojšin, Mirela and Zečević, Veselinka and Petrović, Sofija and Dimitrijević, Miodrag and Mićanović, Danica and Banjac, Borislav and Knezević, Desimir", year = "2018", abstract = "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.", publisher = "Društvo genetičara Srbije, Beograd", journal = "Genetika-Belgrade", title = "Variability, correlation, path analysis and stepwise regression for yield components of different wheat genotypes", pages = "828-817", number = "3", volume = "50", doi = "10.2298/GENSR1803817M", url = "conv_172" }
Matković Stojšin, M., Zečević, V., Petrović, S., Dimitrijević, M., Mićanović, D., Banjac, B.,& Knezević, D.. (2018). Variability, correlation, path analysis and stepwise regression for yield components of different wheat genotypes. in Genetika-Belgrade Društvo genetičara Srbije, Beograd., 50(3), 817-828. https://doi.org/10.2298/GENSR1803817M conv_172
Matković Stojšin M, Zečević V, Petrović S, Dimitrijević M, Mićanović D, Banjac B, Knezević D. Variability, correlation, path analysis and stepwise regression for yield components of different wheat genotypes. in Genetika-Belgrade. 2018;50(3):817-828. doi:10.2298/GENSR1803817M conv_172 .
Matković Stojšin, Mirela, Zečević, Veselinka, Petrović, Sofija, Dimitrijević, Miodrag, Mićanović, Danica, Banjac, Borislav, Knezević, Desimir, "Variability, correlation, path analysis and stepwise regression for yield components of different wheat genotypes" in Genetika-Belgrade, 50, no. 3 (2018):817-828, https://doi.org/10.2298/GENSR1803817M ., conv_172 .