Photosynthetic ability, grain yield and an esterase band in rice genotypes

Euphytica ◽  
1989 ◽  
Vol 42 (3) ◽  
pp. 265-268
Author(s):  
Jen-Hsien Weng ◽  
Ching-Yih Chen
1970 ◽  
Vol 19 (2) ◽  
pp. 181-187
Author(s):  
MR Islam ◽  
PK Saha ◽  
SK Zaman ◽  
MJ Uddin

Five phosphorus rates (0, 5, 10, 20 and 30 kg P/ha) were tested with four rice genotypes in Boro (BRRI dhan36, BRRI dhan45, EH1 and EH2) and T. Aman (BRRI dhan30, BRRI dhan49, EH1 and EH2) season. Phosphorus rates did not influence grain yield irrespective of varieties in T. Aman season while in Boro season P response was observed among the P rates. Application of P @ 10 kg/ha significantly increased the grain yield. But when P was applied @ 20 and 30 kg P/ha, the grain yield difference was not significant. The optimum and economic rate of P for T. Aman was 20 kg P/ha but in Boro rice the optimum and economic doses of P were 22 and 30 kg/ha, respectively. Hybrid entries (EH1 and EH2) used P more efficiently than inbred varieties. A negative P balance was observed up to 10 kg P/ha. Key words: Response; Phosphorus fertilizer; Inbred; Hybrid rice DOI: http://dx.doi.org/10.3329/dujbs.v19i2.8962 DUJBS 2010; 19(2): 181-187


Author(s):  
Anjani Kumar ◽  
D. N. Singh ◽  
Krishna Prasad ◽  
Avinash Pandey

The present investigation was carried out with F2 plants from a cross between two parents i.e., BPT-5204 and IR-64Drt1. The selection of parents for crosses was made based on genotypes that were tolerant and susceptible to drought condition. BPT-5204 was drought susceptible and IR-64Drt1 was also tolerant to drought. In this experiment adequate amount of variability was detected for grain yield per plant and its components among 324 segregants evaluated under augmented randomized block design II in normal field condition. The analysis of variance for grain yield and its attributing characters among blocks, treatments, entries, checks and checks vs entries revealed presence of significant variation in the segregants studied. However, with respect to checks, non-significant differences were recorded for only L/B ratio. The results indicated that among 324 rice genotypes including checks, only 9 rice genotypes expressed higher yield compared to seven checks varieties under normal field condition. The segregants S-51, S-122, S-135, S-195, S-199, S-210, S-219, S-222, S-251 were top ranking genotypes with respect to all checks.


2012 ◽  
Vol 4 (2) ◽  
pp. 124-127 ◽  
Author(s):  
Ghaffar KIANI ◽  
Ghorbanali NEMATZADEH

This study performed to determine the association between grain yield and yield components in fifty-four selected rice genotypes at F2 populations. Results showed that traits, the panicles per plant (r = 0.751) and filled grains per panicle (r = 0.458) correlated significantly with grain yield, while grain yield was negatively associated with non-filled grains per panicle (-0.297). Path coefficient analysis revealed that grain yield was associated with panicles per plant and filled grains per panicle with the direct effects of 0.691 and 0.568, respectively. The greatest indirect effect belonged to panicle length (0.301) through filled grains per panicle. Stepwise regression analysis showed that 72.1 percent of yield variation could be explained by three characters: the panicles per plant, filled grains per panicle and panicle length. Information obtained in this study revealed that traits, the panicles per plant and filled grains per panicle, could be used as selection criteria for grain yield improvement at segregating populations of rice.


Author(s):  
Shantanu Das ◽  
Debojit Sarma

Thirty rice genotypes of local and exotic origin were analyzed to ascertain the genotypic and phenotypic correlation among 21 morpho-physiological and yield traits and their direct/ indirect contribution to grain yield under <italic>boro</italic> season. The result revealed that grain yield per plant had significant positive correlation with biological yield (0.927**, 0.766**), harvest index (0.748**, 0.658**), days to first flowering (0.459*, 0.377*), panicle length (0.501**, 0.445*), grains per panicle (0.576**, 0.484**) and 1000 grain weight (0.573**, 0.460*) at both genotypic and phenotypic levels. Path coefficient analyses at both genotypic and phenotypic levels revealed high positive direct effect of biological yield (0.7181) and harvest index (0.6382) on grain yield per plant. Thus direct selection for grain yield per plant and indirect selection through these characters would be effective to improve yield in <italic>boro</italic> rice.


2016 ◽  
Vol 67 (11) ◽  
pp. 1158 ◽  
Author(s):  
Rupinder Kaur ◽  
Seema Bedi ◽  
Gulshan Mahajan ◽  
Gurpreet Kaur ◽  
Bhagirath Singh Chauhan

To achieve high productivity of labour and water in rice cropping, farmers in South Asia have recently shown more interest in dry direct-seeded rice (DSR). An understanding of physiological and biochemical traits associated with high grain yield and efficiency of nitrogen (N) use is important to the development of genotypes for DSR. We investigated this issue with rice genotypes adapted to DSR in response to N rates. A 2-year study was conducted in a factorial randomised complete block design with eight genotypes and two N rates (75 and 150 kg N ha–1). Almost all of the physiological and biochemical traits studied (e.g. plant height, chlorophyll content, panicle weight, soluble sugars, starch) in DSR improved with increasing N from 75 to 150 kg ha–1, resulting in a 6% increase in yield at 150 kg N ha–1 relative to 75 kg N ha–1. Partial factor productivity of N was highest for the genotype IET-23455 (72.4 kg kg–1) and lowest for the genotype AAUDR (37.4 kg kg–1). Our results suggest that genotypes such as IET-23455 can maintain grain yield at low N rates as N-efficient genotypes. The greater biochemical activity (nitrate reductase and glutamine synthetase, sugar, protein and proline) and higher photosynthetic N-use efficiency at low N rates could be used in selection for N-efficient rice genotypes for DSR.


2016 ◽  
Vol 8 (1) ◽  
pp. 184-190
Author(s):  
A. Srijan ◽  
S. Sudheer Kumar ◽  
Ch. Damodar Raju ◽  
R. Jagadeeshwar

In the present study, 23 elite rice genotypes were test crossed with IR 58025A and based on which, 12 restorer lines viz., Rajendra, MTU 1010, IR 64, KNM 118, NLR 33358, Satya, Varalu, RNR 15048, RNR 15038, Tel- lahamsa, RNR(RK) 28 and RNR(RK) 53 were identified during Kharif- Rabi 2013-14. Then, three CMS lines viz., IR 58025A, IR 68902A and IR 72081A were crossed with these identified 12 restorer lines to produce 36 hybrids in line × tester mating design and were evaluated along with standard hybrid check, PA 6129 at Rice Research Centre, Rajendranagar, during Kharif 2014 to find out the best heterotic combinations in terms of grain yield and yield component characters. The degree of heterosis varied from trait to trait. Out of 36 hybrids studied, the significant standard heterosis for grain yield is observed in 3 hybrids, over best check PA 6129, viz., IR 58025A × MTU 1010 (18.25), IR 68902A × RNR 15038 (14.59) and IR 72081A × RNR 15038 (9.57). The best experimental hybrid IR58025A × MTU 1010 recorded average heterosis (78.26) and heterobeltiosis (64.37). These three experimental hybrids can be further evaluated over locations for large scale commercialization in Telangana.


2017 ◽  
Vol 1 (1) ◽  
pp. 11
Author(s):  
Nita Kartina

<p>One of the objectives in rice breeding is to increase grain yield. The research was to evaluate numbers of hybrid rice genotypes and also to obtain the information about grain yield correlation main, grain yield component from numbers of hybrid rice genotypes and influencial character as selection criteria. The experiment conducted in the second season (MT II) of 2013 at Cilacap, Central Java province and in Malang, East Java province by using Randomized Complete Block Design (RCBD) with four replications. The genetic materials used were 18 hybrid rice genotypes and two check varieties namely Hipa8 and Ciherang. The results showed that grain yield had been effected by location, genotypes and both interactions. Hipa8 give yield average 9 t/ha while Ciherang 8.78 t/ha. There were two hybrid rice genotypes have equal yield statitistically with both check varieties. The hybrids were A7/BH25B-1B(9.13 t/ha) and IR58025A/CRS516 (9.15 t/ha). Based on path analysis numbers of empty grain, seed set, plant high and number of productive tillers have direct effect to yield with path coefficient of 0.0437; 0.3114; 0.,1952 and 1.931.These characters could be used as selection criteria.</p>


2020 ◽  
Author(s):  
Soumya Kumar Sahoo ◽  
Goutam Kumar Dash ◽  
Arti Guhey ◽  
Mirza Jaynul Baig ◽  
Madhusmita Barik ◽  
...  

ABSTRACTRice production is severely threatened by drought stress in Eastern India. To develop drought tolerant varieties, selection of donors for breeding programme is crucial. Twenty one selected rice genotypes including both tolerant and sensitive to drought were grown under well-watered and drought stress conditions in dry seasons of two successive years of 2017 and 2018. Leaf water potential, relative water content displayed significant difference among the genotypes during vegetative screening. At reproductive stage drought screening, days to 50% flowering was delayed in all genotypes except N22 and Anjali (showed early flowering) however grain yield and other yield related traits decreased significantly compared to well watered condition. Correlation analysis of phenological and yield related traits with grain yield revealed that tiller numbers and panicle numbers are highly correlated with grain yield both under well-watered and water stress conditions and contributes maximum towards grain yield. The dendrogram grouped Mahamaya, Sahabhagidhan, Poornima, IBD 1, Hazaridhan, Samleshwari and Danteshwari into one cluster which performed better under water stress conditions and had grain yield more than 1.69 tha−1. Sahabhagidhan, Poornima, Vandana, and N22 displayed tolerance to drought both under vegetative and reproductive conditions which could be a good selection for the breeders to develop drought tolerant rice cultivars for eastern region of India.


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