Correlation and Path Analysis for Yield and Yield-Related Traits of Potato (Solanum tuberosum L.) in Karnataka

Lavanya, K.; Srinivasa, V.; Ali, Shahid; Devaraju,; Lakshmana, D.; Kadian, M. S.

doi:10.1007/s40009-019-00831-z

Cited by 4 publications

(6 citation statements)

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“…Plant emergence per cent 30 days after planting (-0.033), dry matter content of tuber (-0.025), tuber length (-0.017) and ascorbic acid content of tuber (-0.003) had a direct negative effect on tuber yield per plant. These results are in agreement with the report of Panigrahi et al [18], Lavanya et al [20], Gebreselassie and Ajema [22] and Sandilya et al [25].…”

Section: Path Coefficient Analysissupporting

confidence: 93%

“…This implies that direct selection based on the average weight of tuber yield per plant, the number of branches per plant and the number of tubers per plant could significantly enhance the yield per plant. Similar to our findings, Gusain [31], Tripura et al [32], Patel et al [16], Shubha and Singh [11] Lavanya et al [20], Kumar et al [33], Kumar et al [34], Sandilya et al [22] and Sahu et al [35] also reported that average weight of tuber yield per plant, number of branches per plant, number of tubers per plant, protein content of tuber and specific gravity of tuber had high positive direct effect on tuber yield.…”

Section: Path Coefficient Analysissupporting

confidence: 92%

“…The data suggests that an increase in positively associated traits contributes to an increase in yield per plant. In line with this, Panigrahi et al [18], Patel et al [19], Shubha, and Singh [11 ], Lavanya et al [20], Singh et al [21], Gebreselassie and Ajema [22], Hunde et al [23], Nigussie et al [24], Sandilya et al [25], Tessema et al [26] and Tsagaye et al [27] also reported a significant correlation between tuber yield and several other traits, including tuber number, tuber weight, plant height, main stem per plant, average tuber weight, and tuber weight per plant. Consequently, improving tuber yield in potatoes is possible by employing an appropriate breeding strategy that selectively targets these positively correlated traits.…”

Section: Character Associationsmentioning

confidence: 65%

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Correlation and Path Coefficient Analysis among Yield and Yield Associated Traits in Potato (Solanum tuberosum L.) Accessions in the ‘Terai’ Region of Uttarakhand

K R,

Singh,

S D

et al. 2024

J. Sci. Res. Rep.

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In a breeding program, knowledge regarding the direct and indirect effects of traits and understanding the traits' relationships in potato genotypes are vital prerequisites for crop improvement. The main focus of the research was to assess the correlation and path analysis in 32 CPRI advanced potato breeding lines using a randomized block design with three replications to direct proper selection criteria for tuber yield in the Terai region of Uttarakhand. Each genotype was assessed for twelve yield-related traits, and the mean data was used for further analysis. Correlation coefficient analysis showed that the average weight of tubers per plant, number of tubers per plant, tuber length, tuber girth, number of branches per plant, and plant height contributed to the highest positive correlation with tuber yield. The path coefficient result revealed that the average weight of tubers per plant, number of tubers per plant, and number of branches per plant had the highest positive direct effect on yield, whereas the effects of other traits were low. Therefore, these specific characters could be used as selection criteria to improve the yield performance of potatoes.

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Section: Path Coefficient Analysissupporting

confidence: 93%

Section: Path Coefficient Analysissupporting

confidence: 92%

Section: Character Associationsmentioning

confidence: 65%

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Correlation and Path Coefficient Analysis among Yield and Yield Associated Traits in Potato (Solanum tuberosum L.) Accessions in the ‘Terai’ Region of Uttarakhand

K R,

Singh,

S D

et al. 2024

J. Sci. Res. Rep.

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“…the path analysis should be a closed system as far as possible (LAVANyA et al, 2019;ShUBhA & SINgh, 2018), and R 2 should be above 0.9 as far as possible (REN et al, 2003). In this paper, R 2 was between 0.7 and 0.9 (table 5), which indicated that the influence factor estimation of starch gelatinization properties was not complete, and some factors still needed to be discussed (BURtoN et al, 2002;BALL & MoRELL, 2003;tAKAhA et al, 1998;StEUP et al, 1983;StENSBALLE et al, 2008).…”

Section: Significance Of Path Analysismentioning

confidence: 99%

Starch synthesis and gelatinization properties of potato tubers

Zhou

et al. 2022

Cienc. Rural

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Biosynthesis is the only source of potato starch which is an important raw material for food processing, modified starch and biomass energy. However, it is not clear about the evolution of starch synthesis with tuber development in potato. The present study evaluated the differences of starch synthesis and gelatinization properties of potato tubers with different starch content. Relative to cultivars of medium and low starch content, cultivars of high starch content showed significantly higher SBEII gene expression, AGPase and SSS enzyme activity, and total starch content after middle stage of starch accumulation, and had smaller average starch granule size during whole process of tuber development, and had higher pasting temperature before late stages of tuber growth, and had lower pasting temperature after middle stage of starch accumulation. Path analysis showed that, after middle stage of starch accumulation, effects on starch gelatinization of cultivars with high, medium and low starch content represented starch synthesis enzyme activity > starch accumulation > starch granule distribution > starch synthesis enzyme gene expression, starch synthesis enzyme gene expression > starch synthesis enzyme activity > starch accumulation > starch granule distribution, starch synthesis enzyme gene expression > starch granule distribution > starch synthesis enzyme activity > starch accumulation, respectively. In the study, phases existed in the starch biosynthesis of potato tuber, and the starch quality and its formation process were different among varieties with different starch content. The findings might contribute to starch application and potato industries.

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“…Similar trend was observed for the combined effects of average tuber weight and number of non-marketable tubers, number of tubers and tuber size, number of tubers and number of marketable tubers, tuber size and number of non-marketable tubers and number of marketable tubers and number of non-marketable tubers in which 1.5001%, 0.5250%, 3.6553%, 0.2722% and 2.2288% were contributed, respectively. Lavanya et al (2020) reported that numbers of tubers, marketable yield, number of stems and tuber weight were the most influencing factors to improve the tuber yield. Yahaya and Ankrumah (2017) also reported that the greatest combined contributions of yield characters to grain yield in soybean were observed from number of pods per plant and number seeds per pod.…”

Section: Direct and Combined Contributions (%) Of Yield Components To...mentioning

confidence: 99%

Yield Components of Potato [Solanum tuberosum (L.)] and Their Relationship with Tuber Yield

Sa’ad

Yahaya

Adnan

et al. 2022

ASD

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Background: Tuber yield in potato is a function of positive association of tuber related traits. Understanding the interplays of these traits is useful for a meaningful selection process and tuber yield improvement. Methods: Field experiment was conducted in 2017-18 and 2018-19 dry seasons at Teaching and Research Farm of Faculty of Agriculture, Bayero University, Kano and Teaching and Research Farm of Kano University of Science and Technology, Wudil to assess the relationships of yield related characters and their contribution to-tuber yield in potato. Treatments comprised of five planting times (late October, early November, mid-November, late November and early December), two methods of propagation (whole seed and cut seed) and three plant densities (66,666; 43,333 and 33,333) per hectare. These were combined and laid down in an incomplete-block design; in fractional factorial using D-optimality criterion. Simple and partial correlation analysis was carried out to determine the relationships, direct, indirect and combined contributions of the measured variables to tuber yield. Result: Tuber yield, average tuber weight (g), number of tubers per plant and marketable tuber were positively correlated to tuber yield. Significant but negative correlation between number of non-marketable tubers and tuber yield was also observed. The direct, indirect and combined contributions of average tuber weight (g), number of tubers per plant, number of marketable and non-marketable tubers indicated significant improvement in tuber yield.

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Correlation and Path Analysis for Yield and Yield-Related Traits of Potato (Solanum tuberosum L.) in Karnataka

Cited by 4 publications

References 0 publications

Correlation and Path Coefficient Analysis among Yield and Yield Associated Traits in Potato (Solanum tuberosum L.) Accessions in the ‘Terai’ Region of Uttarakhand

Correlation and Path Coefficient Analysis among Yield and Yield Associated Traits in Potato (Solanum tuberosum L.) Accessions in the ‘Terai’ Region of Uttarakhand

Starch synthesis and gelatinization properties of potato tubers

Yield Components of Potato [Solanum tuberosum (L.)] and Their Relationship with Tuber Yield

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