Breeding for resistance to rice yellow mottle virus and improved yield in rice (oryza sativa L.) in Tanzania.
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Date
2020
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Abstract
Rice [Oryza sativa (L.), 2n = 2x = 24] is the second most important staple food crop after
wheat (Triticum aestivum L.) serving more than half of the world’s population. In Tanzania,
rice is the second most important cereal crop after maize (Zea mays L.). However, rice
production and productivity in the country is hindered by several factors. One of the leading
biotic constraints is the rice yellow mottle virus (RYMV) disease which is devastating the
existing rice varieties, and causes severe yield losses of 20 to 100 % under field conditions.
Both landraces and introduced varieties that are grown by farmers succumb to RYMV.
Several control strategies have been recommended to reduce RYMV infection: however, the
development and deployment of RYMV resistant varieties is the most effective, economical
and environmentally friendly approach for subsistence farmers. Breeding for resistance to
RYMV and improved yields are the main goals for rice breeders aiming to develop and release
improved rice cultivars that meet the preferences of the farmers and their markets. Therefore,
the objectives of this study were to: (i) assess farmers’ perceptions, production constraints
and variety preferences of rice in Tanzania to guide breeding; (ii) determine variation among
Tanzanian rice germplasm collections based on agronomic traits and resistance to RYMV to
select unique parents for breeding; (iii) assess the genetic diversity and population structure
of rice genotypes using simple sequence repeat (SSR) markers to complement phenotypic
profile and select parents; and (iv) determine the combining ability and gene action for
resistance to RYMV disease and for key agronomic traits in rice, and thereby to develop new
populations of parental germplasm for future breeding.
A participatory rural appraisal study was conducted involving 180 participants, using a
structured questionnaire and focused group discussions with 90 farmers in the Mvomero,
Kilombero and Kyela districts of Tanzania. The results indicated that rice was the most
important food and cash crop, followed by maize, cassava (Mannihot esculenta Crantz),
sweetpotato (Ipomoea batatas [L..] Lam.), sugarcane (Saccharum officinarum L.), pigeonpea
(Cajanus cajan L.), cowpea (Vigna unguiculata [L.] Walp.), sesame (Sesamum indicum L.),
common bean (Phaseolus vulgaris L.), cocoa (Theobroma cacao L.), banana (Musa
acuminate L.), groundnut (Arachis hypogaea L.), and oil palm (Elaeis guineensis Jacq.). The
majority of the respondents (67.2%) used farm saved seed from the previous rice harvest.
The major constraints limiting rice production and productivity in all studied areas were
diseases, insect pests, frequent droughts, the non-availability and high cost of fertilizers, a
limited number of improved cultivars, poor soil fertility and bird damage. The farmers preferred
rice varieties with high yield, disease resistance, drought tolerance, high market value, early
maturity, attractive aroma, and local adaptation. A systematic rice-breeding program aimed
at improving RYMV resistance and incorporating farmers’ preferred traits should be designed
and implemented as a means to increase the productivity and adoption of new cultivars by
the farmers across the rice-growing areas of Tanzania.
Fifty-four rice genotypes were field evaluated at two important rice production sites (Ifakara
and Mkindo), which are recognized as RYMV hotspots in Tanzania, using a 6 × 9 alpha lattice
design with two replications. There were significant (p<0.05) genotypic variations for
agronomic traits and RYMV susceptibility in the tested germplasm. Seven genotypes with
moderate to high RYMV resistance identified, namely Salama M-57, SSD1, IRAT 256,
Salama M-55, Mwangaza, Lunyuki, and Salama M-19 were identified as new sources of
resistance genes. Positive and significant correlations were detected between grain yield and
number of panicles per plant (NPP), panicle length (PL), number of grains per panicle (NGP),
percentage-filled grains (PFG), and thousand-grain weight (TGW), which are useful traits for
simultaneous selection for rice yield improvement. A principal component analysis resulted in
five principal components accounting for 79.88% of the total variation present in the assessed
germplasm collection. Traits that contributed most to the total genotypic variability included
NPP, number of tillers per plant (NT), PL, grain yield (GY), and days to 50% flowering (DFL).
Genotypes, Rangimbili, Gigante, and SARO have complementary agronomic traits and
RYMV resistance, and can be recommended for further evaluation, genetic analysis and
breeding.
The genetic relationship and divergence of the 54 rice selected genotypes mentioned above
were examined using 14 polymorphic simple sequence repeats (SSR) markers to select
unique parents for breeding. Data analysis was based on marker and population genetic
parameters. The mean polymorphic information content (PIC) was 0.61, suggesting a high
level of polymorphism for the selected SSR markers among the rice accessions. The
population structure revealed a narrow genetic base, with only two major sub-populations.
Analysis of molecular variance revealed that only 30% of the variation was attributed to
population differences, while 47% and 23% were due to variation among individuals within
populations and within individual variation, respectively. The genetic distance and identity
among genotypes varied from 0.083 to 1.834 and 0.159 to 0.921, respectively. A dendrogram
grouped the genotypes into three clusters with wide variation. The selected genetic
resources, namely IR56, Mwanza, Salama M-55, Sindano nyeupe, SARO, Gigante, Lunyuki,
Rangimbili, IRAT 256, Zambia and Salama M-19, will be useful resources for rice breeding in
Tanzania and other African countries because they are genetically diverse.
The final study involved combining ability analysis of the above selected genotypes and
derived families to assess gene action conditioning RYMV resistance and agronomic traits.
Ten parental lines and their 45 F2 progenies were field evaluated at three selected locations
using a 5 × 11 alpha lattice design with two replications. The genotype × site interaction
effects were significant (p<0.05) for the NT, NPP, NGP, percentage of filled grains (PFG),
TGW, rice yellow mottle virus disease (RYMVD) resistance and GY. The variance due to the
general combining ability (GCA) and the specific combining ability (SCA) effects were both
significant for all assessed traits, indicating that both additive and non-additive gene actions
were involved in governing trait inheritance. The high GCA to SCA ratios calculated for all the
studied traits indicate that additive genetic effect was predominant. Parental lines, Mwangaza,
Lunyuki, Salama M-57, Salama M-19, IRAT 256 and Salama M-55, which had negative GCA
effects for RYMVD, and families such as SARO × Salama M-55, IRAT 245 × Rangimbili,
Rangimbili × Gigante and Rangimbili × Mwangaza, which had negative SCA effects for
RYMVD were selected for RYMV resistance breeding. The crosses such as Rangimbili ×
Gigante, Gigante × Salama M-19 and Rangimbili × Salama M-55 were selected due to their
desirable SCA effects for GY. The predominance of additive gene effects for agronomic traits
and RYMVD resistance in the present breeding populations suggest that rice improvement
could be achieved through gene introgression using a recurrent selection method.
Overall, the present study resulted in selection of agronomically superior and RYMV resistant
breeding parents and new rice families for further evaluation and variety release in Tanzania.
Description
Doctoral Degree. University of KwaZulu-Natal, Pietermaritzburg.