Growth attributes of potato and their inter-relationship with yield

Maity, Suman Kalyan; Chatterjee, B. N.

doi:10.1007/bf02362245

Cited by 11 publications

(6 citation statements)

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“…The characters often highlighted in this regard were number of tubers, tuber weight, plant height, and number of big sized tubers (Maity and Chattarzee 1977, Gunel et al 1991, Birhman and Kang 1993, Yildirim et al 1997, Bhagowati and Saikia 2003, Tuncturk and ÇiftÇi 2005. The sequential path model not only indicated that other characters, namely, number of main and secondary stems per plant, diameter of main stems, and tuber dry matter concentration, exercise their influence as second-order variables but also provided a better understanding of their relative contributions to the first-order variables.…”

Section: Resultsmentioning

confidence: 97%

“…Path coefficient analysis shows the extent of direct and indirect effects of the causal components on the response component. In most studies involving path analysis, researchers considered the predictor characters as first-order variables to analyse their effects over a dependent or response variable such as yield (Maity and Chattarzee 1977, Gunel et al 1991, Gopal et al 1994, Yildirim et al 1997, Bhagowati and Saikia 2003, Tuncturk and ÇiftÇi 2005. This approach might result in multicollinearity for variables, particularly when correlations among some of the characters are high (Samonte et al 1998).…”

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confidence: 99%

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Sequential Path Analysis of Yield Components in Potato

Zakaria

Fathi²,

Hasanpanah³

2007

Potato Res.

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In order to determine proper selection criteria for tuber yield in potato clones obtained from true potato seed (TPS) and to evaluate relationships between tuber yield and its components, an investigation was conducted using the five check cultivars Agria, Marfona, Draga, Agata, and Arinda, and 120 potato clones obtained from TPS. The study was conducted in an augmented randomized complete block design with three replications. Yield and its components were recorded. Correlation coefficient analysis showed that tuber yield had significant positive associations with number of tubers per plant, average weight per tuber (tuber size), plant height, diameter of main stem, and number of main and secondary stems per plant, whereas its correlation with tuber dry-matter concentration was significantly negative. Number of tubers per plant, tuber size, and plant height had significant standardized partial regression coefficients with very small tolerance and large variance inflation factor (VIF) values. These were considered as the first-order variables in sequential path analysis.

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Section: Resultsmentioning

confidence: 97%

mentioning

confidence: 99%

Sequential Path Analysis of Yield Components in Potato

Zakaria

Fathi²,

Hasanpanah³

2007

Potato Res.

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“…The number of storage roots at Niksar was higher than Kazova during both years. Yield, number and weight of storage roots per plant have been used to explain sweet potato yield by Maity and Chatterjee [ 42 ], Islam et al [ 19 ] and Afuape et al [ 43 ].…”

Section: Resultsmentioning

confidence: 99%

The assessment of yield and quality traits of sweet potato (Ipomoea batatas L.) genotypes in middle Black Sea region, Turkey

Karan

Şanli

2021

PLoS ONE

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Sweet potato (Ipomoea batatas L.) cultivation in Turkey is concentrated in one province situated in Mediterranean region only, which would not fulfill the domestic needs of the country soon. Therefore, cultivation of the crop in other provinces/climatic regions should be initiated to fulfill the domestic needs. The cultivation in other provinces requires thorough assessment of yield and quality traits of target crop. Therefore, yield and quality characteristics of four sweet potato genotypes (i.e., ‘Hatay Kırmızısı’, ‘Hatay Yerlisi’, ‘Havuc’ and ‘Kalem’) were assessed in the current study in Kazova and Niksar counties of Tokat province of the country having middle Black Sea climate in field experiments during 2018 and 2019. The cuttings of the genotypes were planted in Niksar during the second fortnight of April and first week of May in Kazova. The planting density was kept 90 × 45 cm. Data relating to number of storage roots, storage root weight, storage root yield per hill and storage root yield per hectare were recorded. Furthermore, quality traits, including dry matter ratio (%), protein ratio (%) and antioxidant ratio (%) of storage roots were also determined. The highest total storage root yield was recorded for ‘Havuc’ genotype during both years and locations, followed by ‘Hatay Yerlisi’ and ‘Hatay Kırmızısı’ genotypes. Overall, storage root yield (60.06 and 62.40 tons ha-1 during first and second year) recorded for the experiment at Niksar was higher than the storage root yield recorded for Kazova experiment (53.50 and 52.84 tons ha-1 during first and second year, respectively). The highest dry matter was produced by ‘Kalem’ and ‘Hatay Yerlisi’ genotypes during both years and at both locations, followed by ‘Hatay Kırmızısı’ and ‘Havuc’ genotypes. The storage roots of the tested genotypes accumulated higher dry matter at Kazova during both years. The highest protein content was obtained from the ‘Kalem’ genotype, and the protein contents of the ‘Hatay Yerlisi’ and ‘Hatay Kırmızısı’ genotypes were close to the ‘Kalem’ genotype. The results indicated that tested genotypes can successfully be cultivated in middle Black Sea climate. Therefore, production of sweet potato can be initiated in the future to meet the domestic needs for sweet potato in the country.

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“…The results Rxy = SPxy ssx.ssy from correlation analysis indicated a strong relationship between average tuber weight, number of tubers per stand, tuber size and number of marketable tubers to total tuber yield. Maity and Chatterjee (1997) also reported number of tubers per plant are closely connected with the yield of potato tubers. Similar observation was reported for strong positive correlation of number of roots per plant and root weight to root yield of sweet potato (Yahaya et al, 2015).…”

Section: Simple Correlation Between Yield Components and Tuber Yieldmentioning

confidence: 86%

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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Growth attributes of potato and their inter-relationship with yield

Cited by 11 publications

References 5 publications

Sequential Path Analysis of Yield Components in Potato

Sequential Path Analysis of Yield Components in Potato

The assessment of yield and quality traits of sweet potato (Ipomoea batatas L.) genotypes in middle Black Sea region, Turkey

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

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