PRANAV KUMAR MISHRA, RAM BADAN RAM, NEERAJ KUMAR

7218

Genetic variability, heritability, and genetic advance in strawberry(Fragaria × ananassa Duch.)

Strawberry (Fragaria à ananassa Duch.) genotypes were evaluated to study genetic variation and the relationship between yield and its component using a randomized complete block design during 2013/14. The results showed significant variance among genotypes of all traits. The phenotypic coefficient of variation (PCV) for all the characters was slightly higher than genotypic coefficient of variation (GCV), which signified the presence of environmental influence to some degree in the phenotypic expression of characters. Dry fruit weight had the highest PCV (52.47) and GCV (48.26). The estimates of narrow sense heritability (h2) were observed to be lower than those of broad sense heritability (H2) for all the characters. Genetic advance was recorded as maximum for fruit yield per plant (76.84), whereas genetic advance as percent of mean was highest for dry fruit weight (84.09). Highest heritability (H2, 98.44) was coupled with higher genetic advance (76.84) estimated for fruit yield per plant, which indicated that the character is controlled by additive genes and therefore further improvement could brought by selection. Fruit yield was significantly and positively associated with most of the characters except number of leaves per plant, titratable acidity, and ascorbic acid at both genotypic and phenotypic levels; therefore, these are important prerequisites to formulate a successful improvement program.
Anahtar Kelimeler:

Correlation, coefficient of variations, genetic variability, genetic advance, heritability, strawberry

Genetic variability, heritability, and genetic advance in strawberry (Fragaria × ananassa Duch.)

Strawberry (Fragaria à ananassa Duch.) genotypes were evaluated to study genetic variation and the relationship between yield and its component using a randomized complete block design during 2013/14. The results showed significant variance among genotypes of all traits. The phenotypic coefficient of variation (PCV) for all the characters was slightly higher than genotypic coefficient of variation (GCV), which signified the presence of environmental influence to some degree in the phenotypic expression of characters. Dry fruit weight had the highest PCV (52.47) and GCV (48.26). The estimates of narrow sense heritability (h2) were observed to be lower than those of broad sense heritability (H2) for all the characters. Genetic advance was recorded as maximum for fruit yield per plant (76.84), whereas genetic advance as percent of mean was highest for dry fruit weight (84.09). Highest heritability (H2, 98.44) was coupled with higher genetic advance (76.84) estimated for fruit yield per plant, which indicated that the character is controlled by additive genes and therefore further improvement could brought by selection. Fruit yield was significantly and positively associated with most of the characters except number of leaves per plant, titratable acidity, and ascorbic acid at both genotypic and phenotypic levels; therefore, these are important prerequisites to formulate a successful improvement program.
Keywords:

Correlation, coefficient of variations, genetic variability, genetic advance, heritability, strawberry,

PDF

___

  • Allard RW (1960). Principles of Plant Breeding. New York, NY, USA: John Wiley & Sons.
  • Ara T, Haydar A, Hayatmahamud, Khalequzzaman KM, Hossain MM (2009). Analysis of the different parameters for fruit yield and yield contributing characters in strawberry. Int J Sustain Crop Prod 4: 15–18.
  • Atta BM, Haq MA, Shah TM (2008). Variation and inter relationships of quantitative traits in chickpea (Cicer arietinum L.). Pak J Bot 40: 637–647.
  • Baye B, Ravishankar R, Singh H (2005). Variability and association of tuber yield and related traits in potato (Solanum tubersum L.). Eth J Agric Sci 18: 103–121.
  • Biswas MK, Hossain M, Ahmed MB, Roy UK, Karim R, Razvy MA, Salahin M, Islam R (2007). Multiple shoots regeneration of strawberry under various colour illuminations. Am-Eurasian J Sci Res 2: 133–135.
  • Burton GW (1952). Quantitative inheritance in grasses. In: Proceedings of the 6th International Grassland Congress. State College, PA, USA: Pennsylvania State College, 1952, pp. 277–283.
  • Chaubey PK, Singh RP (1994). Genetic variability, correlation and path analysis of filled components in rice. Madras Agri J 81: 438–470.
  • Comstock RR, Robinson HF (1952). Genetic parameters, their estimation and significance. In: Proceedings of 6th International Grassland Congress. State College, PA, USA: Pennsylvania State College, 1952, pp. 248–291.
  • Dabholkar AR (1992). Elements of Biometrical Genetics. New Delhi, India: Concept Publishing Company.
  • Falconer DS (1989). Introduction to Quantitative Genetics. 3rd ed. Harlow, UK: Longman Scientific and Technical.
  • Falconer DS, Mackay TFC (1996). Introduction to Quantitative Genetics. 4th ed. London, UK: Benjamin Cummings.
  • Graham J, McNicol RJ, McNicol JW (1996). A comparison of methods for the estimation of genetic diversity in strawberry cultivars. Theor Appl Genet 93: 402–406.
  • Guttridge CG, Anderson HM (1981). Assessing fruit yield characteristics and potential in strawberry. Hortic Res 21: 83–98.
  • Hamdi A, El-Ghareib AA, Shafey SA, Ibrahim MAM (2003). Genetic variability, heritability and expected genetic advance for earliness and seed yield from selection in lentil. Egypt J Agr Res 81: 125–137.
  • Hancock JF, Bringhurst RS (1988). Yield component interactions in wild population of California Fragaria. HortScience 23: 889– 890.
  • Imtiyaz AW, Bhat MY, Banday FA, Khan IA, Hassan GI, Abid AL, Bhat TA (2012). Correlation studies of morphological and economic traits in pomegranate (Punica granatum L.). Plant Arch 12: 943–946.
  • Johnson HW, Robinson HE, Comstock, RE (1955). Estimates of genetic and environmental variability in soybean. Agronomie 47: 314–318.
  • Kashiani P, Saleh G (2010). Estimation of genetic correlations on sweet corn inbred lines using SAS mixed model. Am J Agr Biol Sci 5: 309–314.
  • Kher R, Baba JA, Bakshi P (2010). Influence of planting time and mulching material on growth and fruit yield of strawberry cv. Chandler. Indian J Hortic 67: 441–444.
  • Kumar R, Kumar S, Singh AK (2012). Genetic variability and diversity studies in snapdragon (Antirrhinum majus) under tarai conditions of Uttarakhand. Indian J Agr Sci 82: 535–537.
  • Lacey CND (1973). Phenotypic correlations between vegetative characters and yield components in strawberry. Euphytica 22: 546–554.
  • Lynch M, Walsh B (1998). Genetics and Analysis of Quantitative Traits. Sunderland, MA, USA: Sinauer Associates.
  • Miller PA, Williams JC, Robinson HF, Comstock, RE (1958). Estimates of genotypic and environmental variances and covariance’s in upland cotton and their implications in selection. Agron J 50: 126–131.
  • Mir MM, Neelofar, Bisati IA (2009). Path coefficient analysis in pomegranate (Punica granatum L.). Advances in Plant Sciences 22: 269–271.
  • Moore JN, Brown GR, Brown ED (1970). Comparison of factors influencing fruit size in large fruited and small fruited clones of strawberry. J Am Soc Hortic Sci 95: 827–831.
  • Nielson BV, Eaton GW (1983). Effects of boron nutrition upon strawberry yield components. HortScience 18: 932–934.
  • Ojo DK, Omikunle OA, Ajala MO, Ogunbayo, SA (2006). Heritability, character correlation and path coefficient analysis among six- linked of maize. World J Agri Sci 2: 352–358.
  • Olsen JL, Martin LW, Breen PJ (1985). Yield component analysis of ‘Benton’ and OR-US 4356 strawberries. HortScience 20: 74–76.
  • Patil YB, Madalageri BB, Biradar BD, Hoshmani RM (1996). Variability studies in okra (Abelmoschus esculentus L. Moench.). Karnataka J Agr Sci 9: 289–293.
  • Punetha P, Rao VK, Sharma SK (2011). Evaluation of different chrysanthemum (Chrysanthemum morifolium) genotypes under mid hill conditions of Garhwal Himalaya. Indian J Agr Sci 81: 830–833.
  • Rai M, Reddy NN, Prasad VSR (2001). Variation pattern in litchi under Indian conditions. Indian J Hortic 58: 218–223.
  • Ramanjinappa V, Arunkumar KH, Hugar A, Shashibhaskar MS (2011). Genetic variability in okra (Abelmoschus esculentus L. Moench.). Plant Arch 11: 435–437.
  • Ranganna S (1986). Handbook of Analysis and Quality Control for Fruit and Vegetable Products. New Delhi, India: Tata McGraw- Hill Education.
  • Recupero S, Arcuti P, Magrini M, Damiano C (1989). Field performance of several strawberry cultivars and selections in Southern Italy. Acta Hortic 265: 105–112.
  • Sah S, Sharma G, Sharma N (2010). Heritability, genetic variability correlation and non-hierarchical Euclidean cluster analysis of different almond (Prunus dulcis) genotypes. Indian J Agr Sci 80: 576–883.
  • Shoemaker JS (1954). Small Fruit Culture. New York, NY, USA: McGraw Hill Book Company.
  • Singh BD (2000). Plant Breeding: Principles and Methods. New Delhi, India: Kalyani Publishers.
  • Singh N, Raju KP, Prasad DVS, Bharadwaj KV (2008). Studies on genetic variability, heritability and genetic advance in French marigold (Tagetes patula) genotypes. J Ornamental Horti 12: 30–34.
  • Singh P, Narayanan SS (1993). Biometrical Techniques in Plant Breeding. New Delhi, India: Kalyani Publishers.
  • Singh RK, Chaudhary BD (1985). Biometrical Methods in Quantitative Analysis. New Delhi, India: Kalayani Publishers.
  • Strik BC, Proctor JTA (1988). Yield component analysis of strawberry genotypes differing in productivity. J Am Soc Hortic Sci 113: 124–129.
  • Webb RA, Purves JV, White BA, Ellis R (1974). A critical path analysis of fruit production in strawberry. Sci Hortic-Amsterdam 2: 175–184.
Turkish Journal of Agriculture and Forestry-Cover
  • ISSN: 1300-011X
  • Yayın Aralığı: Yılda 6 Sayı
  • Yayıncı: TÜBİTAK
Arşiv
Sayıdaki Diğer Makaleler

Sequencing of plant genomes ? a review

Mine TÜRKTAŞ, Kuaybe Yücebilgili KURTOĞLU, Gabriel DORADO, Baohong ZHANG, Pilar HERNANDEZ, Turgay ÜNVER

Genetic variability of bilaterally symmetrical fruits of Norway maple in function of species biodiversity conservation

ISIDORA SIMOVIC, MIRJANA OCOKOLJIC, DRAGICA OBRATOV-PETKOVIC, DRAGICA VILOTIC

Generation of transgenic sugar beet (Beta vulgarism L.) overexpressing the polygalacturonase inhibiting protein 1 of Phaseolus vulgaris (PvPGIP1) through Agrobacterium-mediated transformation

REZA MOHAMMADZADEH, MOSTAFA MOTALLEBI, MOHAMADREZA ZAMANI, ZAHRA MOGHADDASSI JAHROMI, PEYMAN NOROUZI, MANUEL BENEDETTI, GIULIA DE LORENZO

Identification of expressed resistance gene analog sequences in coconut leaf transcriptome and their evolutionary analysis

Muliyar Krishna RAJESH, Kaitheri Edathil RACHANA, Sudalaimuthu Asari NAGANEESWARAN, Rahman SHAFEEQ, Regi Jacob THOMAS, Mohammed SHAREEFA, Babu MERIN, Karun ANITHA

Single nucleotide polymorphism discovery through Illumina-based transcriptome sequencing and mapping in lentil

HÜLYA YILMAZ TEMEL, DENİZ GÖL, HİLAL BETÜL KAYA AKKALE, ABDULLAH KAHRİMAN, Muhammed Bahattin TANYOLAÇ

Partial characterization and development of sensitive and reliablediagnostic for the detection of cucumber mosaic virus

SHAHANAVAJ KHAN

Genetic variability, heritability, and genetic advance in strawberry(Fragaria × ananassa Duch.)

PRANAV KUMAR MISHRA, RAM BADAN RAM, NEERAJ KUMAR

Genetic diversity and chemical characterization of selected Polish and Russian cultivars and clones of blue honeysuckle (Lonicera caerulea)

ELZBIETA KACZMARSKA, JACEK GAWRONSKI, MAGDALENA DYDUCH-SIEMINSKA, AGNIESZKA NAJDA, WOJCIECH MARECKI, JADWIGA ZEBROWSKA

Cytoplasmic-nuclear variation in a diversity-fixed foundation set ofBrassica juncea (L.) Czern & Coss.

JAVED AKHATAR, NITIN KUMAR, CHHAYA ATRI, SURINDER SINGH BANGA

Transcriptome characterization and large-scale identification of SSR/SNPmarkers in symbiotic nitrogen fixation crop faba bean (Vicia faba L.)

SUNDAN SURESH, TAE-SUNG KIM, SEBASTIN RAVEENDAR, JOON-HYEONG CHO, JUNG YOON YI, MYUNG CHUL LEE, SOK-YOUNG LEE, HYUNG-JIN BAEK, GYU-TAEK CHO, JONG WOOK CHUNG