Plant Productions

Evaluation of quantitative and qualitative yield of some new sugar beet hybrids in Nir climatic conditions

Farhad Sanaie Niri; Omid Sofalian; Salim Farzaneh; Ali Asghari; Seyede Yalda Raeisi Sadati; Abazar Rajabi

Volume 47, Issue 1 , June 2024, , Pages 85-100

https://doi.org/10.22055/ppd.2024.45256.2131

Abstract

Introduction Today, after about 200 years of sugar beet history, about 40% of the sucrose needed by humans is supplied through this crop 1.8% of the country's sugar beet is produced ... Read More Introduction Today, after about 200 years of sugar beet history, about 40% of the sucrose needed by humans is supplied through this crop 1.8% of the country's sugar beet is produced in Ardabil province. Pathogens of sugar beet leaves and roots are among the factors that affect the quantity and quality of sugar beet products and in many cases prevent the development and even limit the cultivation of this product. Materials and Methods This experiment was conducted to evaluate different quantitative and qualitative traits of sugar beet (20 hybrids) in the research field of Nair using a randomized complete block design with three replications in 2018-2019. For this study, 20 sugar beet monogerm hybrids that were produced in Ardabil Agricultural Research Station along with 9 paternal and maternal parents were used. To determine the effective traits on root and sugar yield and percentage of extractable sugar from cluster analysis and to determine the correlation coefficient Peberson method was used. Results The results showed that the characteristics of the percentage of green cover of the field, the number of plants and the amount of sodium and potassium at the probability level of five percent and the traits of number of total and branched roots, amount of harmful nitrogen, alkalinity coefficient, molasses sugar percentage, gross and pure sugar yield, root yield and green-yellowness score had a significant difference among the hybrids at the probability level of 1%. Also, for the attribute number of hybrid plant number 17 and number of roots of hybrid number 7, they were superior to other hybrids. In the current research, the maximum infection with rhizomania disease (13.7%) was observed in hybrid number 9, and the lowest amount belonged to two hybrids number 10 and 12. The highest amount of sodium and potassium was in hybrid 15, while hybrid number 20 had the highest amount of harmful nitrogen. Hybrid 3 had the highest alkalinity coefficient, while the highest percentage of molasses sugar belonged to hybrid 15. The highest yield of gross, pure and root sugar (respectively 10.69, 8.193 and 85.59 tons per hectare) was obtained from hybrid 12 and the lowest values belonged to hybrid 3. Conclusions In general, in terms of performance indicators, hybrids number 3, 12 and 15 were the most suitable hybrids compared to other hybrids.

Genotype- environment interaction analysis and selection of sugar beet stable genotypes in terms of white sugar yield using AMMI model

Dariush Taleghani; Abazar Rajabi; Ali Saremirad; shahram khodadadi

Volume 46, Issue 2 , September 2023, , Pages 155-169

https://doi.org/10.22055/ppd.2023.43177.2089

Abstract

Introduction The methods used to analyze genotype-environment interaction and determine the stability and adaptability of genotypes are continuously evolving to improve the accuracy ... Read More Introduction The methods used to analyze genotype-environment interaction and determine the stability and adaptability of genotypes are continuously evolving to improve the accuracy of evaluating genotypes and studying environmental interaction components. Using a combination of several methods provides a more comprehensive understanding of the genotype-environment interaction from multiple dimensions. In this study, the genotype-environment interaction was investigated using the AMMI method, along with the development of appropriate statistical techniques. Materials and Methods For this purpose, 25 sugar beet genotypes, consisting of 18 new hybrids and seven controls, were cultivated in seven environments: Karaj, Mashhad, Shiraz, Miandoab, Kermanshah, Hamadan, and Khoi. The experiment followed a randomized complete block design with four replications during the year 2020. After checking the uniformity of the variance of the experimental errors using Bartlett's test, the stability of the genotypes was analyzed based on the AMMI model. In this study, 12 statistics obtained from the AMMI model, including ASTAB, ASI, ASV, AVAMGE, DA, DZ, EV, FA, MASI, MASV, SIPCi, and Za, were used to identify stable genotypes. To further investigate the stability of the experimental genotypes, the SIIG index was also estimated, taking into account the criteria provided by each index based on the AMMI model. Results and Discussion The results obtained from Bartlett's test confirmed the homogeneity of the variance of experimental errors in experiments from different regions. Therefore, a combined variance analysis was performed based on the AMMI model. The combined analysis of variance, based on the AMMI model, indicated the significance of the additive effects of the environment and genotype, as well as the multiplicative effect of genotype-environment interaction at the 1% probability level. Analyzing the interaction effects into principal components showed that the first four components were significant at the 1% probability level and explained 93.50% of the variations related to genotype-environment interaction. According to the AMMI1 biplot, hybrids 3 and 9 were recognized as the most stable genotypes due to having a sugar yield higher than the overall average and a low value of the first interaction component. According to the AMMI2 biplot, hybrid 3 and BTS 335 with the Miandoab environment, Lexia and 4 with the Mashhad environment, Lexia with the Hamedan environment, 14 and 15 with the Kermanshah environment, 13 and 17 with the Shiraz environment, 11 with the Karaj environment, and Baloo with the Khoi environment have considerable specific adaptability. Hybrid 9, followed by 6, 2, and 8, had general adaptability. The SIIG index, calculated based on AMMI model statistics, identified 2, 9, 10, and 8 as the most stable genotypes with optimal yield. Conclusion Based on the obtained results, the environment and its interaction with the genetic structure of different genotypes have played a significant role in the phenotypic expression of white sugar yield and have caused the genotypes to provide different responses in terms of white sugar yield according to the conditions of different environments. In general, based on the results of the present study, hybrid 9 and then hybrids 6, 2, 8, 7, and 10 had high white sugar yield and yield stability. Generally, real progress in sugar beet breeding will be obtained if the genetic factors controlling the sensitivity of sugar beet genotypes to a variable environment are identified.

Articles in Press

Current Issue

Volume 47 (2024)

Volume 46 (2023)

Volume 45 (2022)

Volume 44 (2021)

Volume 43 (2020)

Volume 42 (2019)

Volume 41 (2018)

Volume 40 (2017)

Volume 39 (2016)

Volume 38 (2015)

Volume 37 (2014)

Volume 36 (2013)

Volume 35 (2012)

Volume 34 (2011)

Volume 33 (2010)

Volume 32 (2009)

Author = Abazar Rajabi

Evaluation of quantitative and qualitative yield of some new sugar beet hybrids in Nir climatic conditions

Abstract

Genotype- environment interaction analysis and selection of sugar beet stable genotypes in terms of white sugar yield using AMMI model

Abstract