home icon user icon
Welcome to International Network for Natural Sciences | INNS Pub.
Home My Account
Submit Manuscript
double_slash
breadcumb_bg

Morpho-agronomic variability and GxE interactions of Manila Hemp (Musa textilis L. Née) genotypes grown in varying agro-ecozones in Southern Mindanao, Philippines

Paper Details

Research Paper 01/02/2014
Views (359) Download (8)
current_issue_feature_image
publication_file

Morpho-agronomic variability and GxE interactions of Manila Hemp (Musa textilis L. Née) genotypes grown in varying agro-ecozones in Southern Mindanao, Philippines

Florence Zapico, Catherine Hazel Aguilar, Marianita Eroy, Joey Real Marie Barbosa, Deocyth Sarsalejo, Sittie Rokaiya Banisil
Int. J. Agron. Agri. Res.4( 2), 12-20, February 2014.
Certificate: IJAAR 2014 [Generate Certificate]
Key: Cluster analysisG×E interactionMusa textilis L. NeePearson’s correlationPrincipal component analysis

Abstract

Taximetric statistical methods were carried out on morpho-agronomic traits from three Manila hemp (Philippine abaca) varieties planted in three locations in Southern Mindanao, Philippines. Principal Component analysis (PCA) resulted in the extraction of five principal components which collectively accounted for 99.85% of total variance. Correlation analysis revealed highly significant relationships between % survival/number of mature plants at harvest time and pseudostem height and circumference. Three – way multi-environment trial (MET) analysis resulted in the formation of two biplots which jointly revealed groupings based on component loadings. Hierarchical cluster analysis sorted the varietal entries into two groups and highlighted the divergence of Glan abaca plants from those grown in the other two sites. Similar trends for Bongolanon obtained for % survival and number of harvestable plants in all three locations suggests that these traits may have a very strong genetic component, but pseudostem traits were discovered to be highly susceptible to environmental conditions and as such can be manipulated to increase fiber yield. Results rationalize the selection of Bongolanon for wide scale propagation in Southern Mindanao. Finally, these results will facilitate recommendation of abaca genotypes with broad adaptability and/or identify suitable genotypes for targeted agro-ecozones to prevent or minimize economic losses that farmers are most likely to incur if an unsuitable abaca variety is planted on their farms.

VIEWS 43
Cover PDF

Bledzki AK, Faruk O, Sperber VE. 2006. Cars from biofibres Macromolecular Materials and Engineering 291, 449–457.

Becker HC, Leon J. 1988. Stability analysis in plant breeding. Plant breeding 101, 1-23.

Cattel DRB. 1966. The scree test for the number of factors. Multivariate Behavioral Research 1, 245-76

Dizon TO, Damasco OP, Lobina IT, Pinili MS, Lalusin AG, Natsuaki KT. 2012. Induction of putative resistant lines of abaca (Musa textilis L. Nee) to banana bunchy top virus and banana bract mosaic virus through in vitro mutagenesis. Journal of the International Society for Southeast Asian Agricultural Sciences 18(1), 87-99.

Fiber Industry Develoment Authority. 2012. Abaca Fact Sheet. 7/F Sunnymede IT Center, 1614 Quezon Ave., Quezon City Profiles\Abaca profile.

Flores F, Moreno MT. Cubero JI. 1998. A comparison of univariate and multivariate methods to analyze G x E interaction. Field Crops Research 56, 271-286.

Gabriel KR. 1971. The biplot graphic display of matrices with application to principal component analysis. Biometrika 58, 453-467.

Gonzal L. 2005. Integrating Abaca in s mixed forest culture: A Livelihood option for Smallholder tree farmers. A paper presented at the planning workshop of the Australian Centre for International Agricultural Research (ACIAR). Improving Financial Returns to Smallholder Tree Farmers in the Philippines.

Hansche DE, Beres V, Forde HI. 1972. Estimates of quantitative genetic properties of walnut and their implications for cultivar improvement. Journal of the American Society for Horticultural Science 97, 279-285.

Karimizadeha R, Mohammadib M, Sabaghniac N, Hosseinpourd T, Shafazadehe MK. 2012 Analysis of genotype and genotype × environment interaction in durum wheat in warm rainfed areas of Iran. Crop Breeding Journal 2(2), 71-78.

Kaya Y, Akcura M, Ayranci R, Taner S. 2006. Pattern analysis of multi-environment trials in bread wheat. Communications in Biometry and Crop Science-International Journal of the Faculty of Agriculture and Biology 1(2), 63–71.

Kempton RA. 1984. The use of biplots in interpreting variety by environmental interactions. Journal of Agricultural Science 122, 335-342.

Lasalita-Zapico F, Aguilar CHM, Aujero JM. 2010. Phenotypic variability of manila hemp (Musa textilis L. Nee) genotypes in southern Mindanao, Philippines. Journal of Tropical Agriculture 48(1-2), 68-70.

Lu Hy, Wu HP. 1986. Studies on the Genotype-environment interaction of Arabidopsis thaliana. Botanical bulletin- Academia Sinica 27, 187-207.

Perkins JM, Jinks JL. 1968. Environmental and genotype environmental components of variability. III. Multiple lines and crosses. Heredity 23, 339–356.

PCARRD. 2008. The Philippine Abaca Industry. Philippine Agriculture and Resource Research Foundation Inc., Los Baños, Laguna 74 p.

Purchase  JL,  Hatting  H,  VanDevendra  CS. 2000. Genotype x environment interaction of winter wheat (Triticum aestivum L.) in South Africa: Stability analysis of yield performance. South Africa Journal of Plant soil 17, 101-107.

Smith AB, Cullis BR, Thompson R. 2005. The analysis of crop cultivar breeding and evaluation trials: an overview of current mixed model approaches. Journal of Agricultural Science 143, 449-462.

Yan W, Kang MS. 2003. GGE Biplot Analysis: A Graphical Tool for Geneticists, Breeders, and Agronomists. CRC Press, Boca Raton, FL.

Submit Manuscript