DETERMINATION OF THE BEST SELECTION INDICES IN MUTANT LINES OF RICE AT DIFFERENTMOISTURE CONDITIONS

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

KAZERANI BORZO; NAVABPOUR SAEED; SABOURI HOSSEIN; RAMEZANPOUR SEYYEDEH SANAZ; ZENALINEZHAD KHALIL; ESKANDARI ALI

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF CROPS IMPROVEMENT (JOURNAL OF AGRICULTURE) Year:2018 | Volume:20 | Issue:1 Page(s): 173-189

Download Full-Text

Persian Verion

View:

481

Download:

Cites:

Information Journal Paper

Title

DETERMINATION OF THE BEST SELECTION INDICES IN MUTANT LINES OF RICE AT DIFFERENTMOISTURE CONDITIONS

Author(s)

Keywords

DROUGHT STRESSQ2

GAMMA RAYQ2

PATH ANALYSISQ2

REGRESSIONQ2

RICEQ2

Abstract

To determine the best selection indices for facilitating the selection procedure in a reproductive stage of96 mutant lines (M2) of RICE under different moisture conditions, an experiment was carried out in twoenvironments at the research farm of Gonbad Kavous University in 2016 base on randomized completeblock design with three replications. Evaluating the reduction percentage in the average values of traitsshowed that the most damages as affected by DROUGHT STRESS was due to decreases in numbers of filledgrains, numbers of tillers, and 1000-grain weight. Results of stepwise REGRESSION analysis indicated that1000-grain weight, plant height, numbers of filled grains, numbers of days to flowering, flag leaf rolling, numbers of tillers, and panicle length traits were respectively entered into the final multivariate REGRESSIONmodel as important traits affecting grain yield under a flooded condition, and 1000-grain weight, numbersof days to flowering, plant height, fertility percentage, panicle length, flag leaf frying, and numbers oftillers were respectively entered under DROUGHT STRESS. Evaluation of direct and indirect effects of studiedtraits on the grain yield using a PATH ANALYSIS showed that, 1000-grain weight, due to a positive and highdirect effect, and numbers of filled grains, due to an indirect effect via 1000-grain weight, can beconsidered as the most important traits for increasing the grain yield under flooded condition. However, 1000-grain weight and fertility percentage can be introduced as appropriate selection criteria for the grainyield under a drought condition.

Cites

No record.

References

No record.

Cite

APA: Copy

KAZERANI, BORZO, NAVABPOUR, SAEED, SABOURI, HOSSEIN, RAMEZANPOUR, SEYYEDEH SANAZ, ZENALINEZHAD, KHALIL, & ESKANDARI, ALI. (2018). DETERMINATION OF THE BEST SELECTION INDICES IN MUTANT LINES OF RICE AT DIFFERENTMOISTURE CONDITIONS. JOURNAL OF CROPS IMPROVEMENT (JOURNAL OF AGRICULTURE), 20(1 ), 173-189. SID. https://sid.ir/paper/209508/en

Vancouver: Copy

KAZERANI BORZO, NAVABPOUR SAEED, SABOURI HOSSEIN, RAMEZANPOUR SEYYEDEH SANAZ, ZENALINEZHAD KHALIL, ESKANDARI ALI. DETERMINATION OF THE BEST SELECTION INDICES IN MUTANT LINES OF RICE AT DIFFERENTMOISTURE CONDITIONS. JOURNAL OF CROPS IMPROVEMENT (JOURNAL OF AGRICULTURE)[Internet]. 2018;20(1 ):173-189. Available from: https://sid.ir/paper/209508/en

IEEE: Copy

BORZO KAZERANI, SAEED NAVABPOUR, HOSSEIN SABOURI, SEYYEDEH SANAZ RAMEZANPOUR, KHALIL ZENALINEZHAD, and ALI ESKANDARI, “DETERMINATION OF THE BEST SELECTION INDICES IN MUTANT LINES OF RICE AT DIFFERENTMOISTURE CONDITIONS,” JOURNAL OF CROPS IMPROVEMENT (JOURNAL OF AGRICULTURE), vol. 20, no. 1 , pp. 173–189, 2018, [Online]. Available: https://sid.ir/paper/209508/en

Related Journal Papers