Multi-location adaptation tests of hybrid rice varieties in the Philippines

Issue Date

8-2015

Abstract

Providing more accurate estimates of grain yield potential and documenting adaptation patterns by covering multiple environments, wide-scale performance tests of hybrid rice is vital towards proper technology positioning and adoption. This adaptability study in 2012 which tested 14 entries in 39 locations during dry season (DS), and 21 entries in 47 locations during wet season (WS), was conducted to evaluate the performance of new hybrids across the country, and identify best adapted hybrids per region. Grain yield (GY) data were recorded from 5 m² crop cuts. The following trends were observed: (1) DS means were higher than WS means by about 10% in maximum attainable GY; (2) public hybrids tended to perform better than proprietary hybrids; (3) two -line hybrids recorded yields higher than three-line hybrids, and; (4) national average Gy was considerably lower than recorded maximum GY by about 76%. Further, entries performed well under conditions similar to their respective selection environments, but performed best in the southern regions during WS. Among regions, about half recorded maximum yields of more than 10 t haˉ¹ for both seasons. Among entries, public hybrids were most adapted in the DS, while some proprietary hybrids performed well in some regions during WS. Mestiso 19 and Mestiso 29 performed best in both seasons, in several regions. Observed adaptation patterns play a great role in proper positioning of these varieties, thereby further increasing the level of crop productivity with the use of hybrids. Performance gaps encourage the public breeding sector to be more pro-active in tapping partners to properly exploit assets and capabilities, re-asses aptness of technologies moved downstream, and remodel approaches in managing and adapting to factors relevant to rice production.

Source or Periodical Title

Philippine Journal of Crop Science

ISSN

0115-463x

Volume

40

Issue

2

Page

25-32

Document Type

Article

Frequency

tri-quarterly

Physical Description

tables

Language

English

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