Results of determining essential breeding traits of a standard grain sorghum sample

The selection of promising grain sorghum varieties according to the breeding results is complicated by the fact that it is necessary to take into account 49 characteristics (identifiers). This essentially multi-criteria comparison problem currently has neither a theoretical nor an unambiguous practical solution, which determines the relevance of the current study. The purpose of the study was to identify the essential characteristics (identifiers) and their scientifically based scoring of a standard grain sorghum sample based on the method of expert estimations. Based on the results of the expert estimation including leading specialists in grain sorghum breeding, there have been ranked 26 traits out of 49, provided for by the current international classifier, which can be quantitatively digitized and which also reflect biological properties, morphological descriptors of the variety, its productivity, resistance to diseases, chemical composition, etc. After conducting a ranking procedure, estimation of the representativeness of the selection, the consistency of expert opinions and the non-accidentality of their agreement, there was carried out a structuring of the totality of statistical material (rank estimation) according to the integral function of the accumulated frequencies of each ranked feature’s appearance using the original author’s computer program. As a result, there have been identified 13 significant (most significant) estimation traits of grain sorghum, amounting to 64.1 % in terms of ranking and 50 % in terms of quantitative significance. There was set up an estimation scale for them, based on their rank significance on a 100-point scale for the standard grain sorghum sample (“Zernogradskoe 88” developed by the “ARC “Donskoy”). Based on the data of determining the significance of the corresponding traits in physical terms of the compared and standard samples, as well as its score rating for the standard, there was established a point rating of the corresponding traits for the compared samples and complex estimation indicators as their sum. The complex indicator for the compared samples of the varieties ‘Ataman’ and ‘Esaul’ developed by the “ARC “Donskoy” was calculated in accordance with the share of each index relative to the standard one. Their quantitative comprehensive estimation was 111.43 and 101.93 points, respectively. Thus, these varieties exceeded the standard for a set of traits by 111.43 and 101.93 %, respectively.

Authors

Institutions

Publication Details

Journal
Grain Economy of Russia
Published
2024-11-12
DOI
https://doi.org/10.31367/2079-8725-2024-94-5-13-20
Primary Topic
Bioenergy crop production and management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Results of determining essential breeding traits of a standard grain sorghum sample

В. В. Ковтунов, V. F. Khlystunov
Grain Economy of Russia
Bioenergy crop production and management
article

Results of determining essential breeding traits of a standard grain sorghum sample

В. В. Ковтунов, V. F. Khlystunov
article en

Abstract

The selection of promising grain sorghum varieties according to the breeding results is complicated by the fact that it is necessary to take into account 49 characteristics (identifiers). This essentially multi-criteria comparison problem currently has neither a theoretical nor an unambiguous practical solution, which determines the relevance of the current study. The purpose of the study was to identify the essential characteristics (identifiers) and their scientifically based scoring of a standard grain sorghum sample based on the method of expert estimations. Based on the results of the expert estimation including leading specialists in grain sorghum breeding, there have been ranked 26 traits out of 49, provided for by the current international classifier, which can be quantitatively digitized and which also reflect biological properties, morphological descriptors of the variety, its productivity, resistance to diseases, chemical composition, etc. After conducting a ranking procedure, estimation of the representativeness of the selection, the consistency of expert opinions and the non-accidentality of their agreement, there was carried out a structuring of the totality of statistical material (rank estimation) according to the integral function of the accumulated frequencies of each ranked feature’s appearance using the original author’s computer program. As a result, there have been identified 13 significant (most significant) estimation traits of grain sorghum, amounting to 64.1 % in terms of ranking and 50 % in terms of quantitative significance. There was set up an estimation scale for them, based on their rank significance on a 100-point scale for the standard grain sorghum sample (“Zernogradskoe 88” developed by the “ARC “Donskoy”). Based on the data of determining the significance of the corresponding traits in physical terms of the compared and standard samples, as well as its score rating for the standard, there was established a point rating of the corresponding traits for the compared samples and complex estimation indicators as their sum. The complex indicator for the compared samples of the varieties ‘Ataman’ and ‘Esaul’ developed by the “ARC “Donskoy” was calculated in accordance with the share of each index relative to the standard one. Their quantitative comprehensive estimation was 111.43 and 101.93 points, respectively. Thus, these varieties exceeded the standard for a set of traits by 111.43 and 101.93 %, respectively.

Grain Economy of Russia(5)
Don State Technical University (RU), Agricultural Research Center (EG)
Decent work and economic growth
Openalex Percentile: Top 72%
Bioenergy crop production and management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.