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Prediction method for dominant hybridization combination of upland cotton F1 yield

A technology of hybrid combination and prediction method, which is applied in the direction of botanical equipment and methods, application, plant gene improvement, etc., to achieve the effects of shortening time, improving efficiency, and reducing breeding costs

Active Publication Date: 2020-11-10
INST OF ECONOMIC CROP HUBEI ACADEMY OF AGRI SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

So far, there is no low-cost, high-efficiency heterosis prediction method available for use in breeding programs for heterosis utilization in cotton

Method used

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  • Prediction method for dominant hybridization combination of upland cotton F1 yield
  • Prediction method for dominant hybridization combination of upland cotton F1 yield
  • Prediction method for dominant hybridization combination of upland cotton F1 yield

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0065] (1) Grouping of resource groups:

[0066] From the existing parental resource groups, select 60 parents with different geographical origins, different yields, different fiber quality, and different agronomic traits, and divide the parents into relatively balanced subgroups based on the geographical origin and parental agronomic traits1 -10 (as shown in Table 1).

[0067] (2) Determine the parent size of the training population T:

[0068] Partial NCII balanced mating was performed with 20 male parents (F1-F20) and 20 female parents (M1-M20) (as shown in Table 2).

[0069] (3) Determine the combined quantity of the training population T:

[0070] Each parent was crossed 6 times to form 120 combinations. The 6 combinations formed by crossing 3 times form the training population T1, and the remaining 60 combinations form the population to be predicted P1 (as shown in Table 2). Based on the yield identification results of the training population T1, the combined actual ...

Embodiment 2

[0084] (1) Grouping of resource groups:

[0085] From the existing parental resource groups, select 60 parents with different geographical origins, different yields, different fiber qualities, and different agronomic traits, and divide the parents into different balanced subgroups based on the geographical origin and parental agronomic traits 1- 10 (as shown in Table 1).

[0086] (2) Determine the parent size of the training population T:

[0087] 20 male parents (F1-F20) and 20 female parents (M1-M20) were used for NCII balanced mating.

[0088] (3) Determine the combined quantity of the training population T:

[0089] Each parent was crossed 6 times to form 120 combinations. The 40 combinations formed by crossing twice form the training population T2, and the remaining 80 combinations form the population to be predicted P2. Based on the yield identification results of the training population T2, the combined actual yield of the to-be-predicted population P2 is used to pr...

Embodiment 3

[0096] (1) Grouping of resource groups:

[0097] From the existing parental resource groups, select 60 parents with different geographical origins, different yields, different fiber qualities, and different agronomic traits, and divide the parents into different balanced subgroups based on the geographical origin and parental agronomic traits 1- 10 (as shown in Table 1).

[0098](2) Determine the parent size of the training population T:

[0099] 30 male parents (F1-F30) and 30 female parents (M1-M30) were used for NCII balanced mating.

[0100] (3) Determine the combined quantity of the training population T:

[0101] Each parent was crossed 6 times to form 180 combinations. The 60 combinations formed by crossing twice form the training population T3, and the remaining 120 combinations form the population to be predicted P3. Based on the yield identification results of the training population T3, the combined actual yield of the to-be-predicted population P3 is used to pr...

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Abstract

The invention discloses a prediction method for a dominant hybridization combination of the upland cotton F1 yield, and belongs to the technical field of crop breeding. The method comprises the stepsof determining the number of parents and grouping the parents; determining the number of combinations of a training group T; identifying phenotypes of the training group T; estimating parent genetic parameters of the training group T; predicting the yield of each combination of a group to be predicted; and determining the dominant hybrid combination. Compared with the prior art, the method has theadvantages that physiological and biochemical index analysis and molecular marker detection are not required, phenotypic identification is only required to be performed on the parents and a small number of training combination groups (1-1.5 times the total number of the parents), the prediction accuracy of the yield of the combination to be predicted reaches 0.76-0.91, and the prediction accuracyof the superior combination reaching the yield of a control combination (CK) and above reaches 67.7%-100%. By utilizing the method, the combination with yield advantages is predicted before a large number of combinations to be predicted are matched, so that the breeding time is shortened, and the breeding efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of crop breeding, and more specifically relates to a method for predicting an F1 yield-dominant hybrid combination of upland cotton. Background technique [0002] Cotton is the most important fiber crop in my country and even in the world. my country's annual cotton fiber output is about 6-8 million tons, and the planting area is 40-60 million mu, most of which are upland cotton. The utilization of cotton heterosis is an important way to increase cotton yield. However, the current method of heterosis utilization is to test and match a large number of hybrid combinations, and carry out a combination yield comparison test, to screen out a combination with strong heterosis from a large number of combinations, and to popularize and apply it in production. A lot of time and resources are needed in the selection process of the combination of advantages. [0003] Since the hypotheses of heterosis dominance, over...

Claims

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Application Information

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IPC IPC(8): A01H1/02A01H1/04
CPCA01H1/02A01H1/04
Inventor 秦鸿德冯常辉张友昌陈全求张教海夏松波王孝刚王琼珊蓝家样别墅章元明焦春海
Owner INST OF ECONOMIC CROP HUBEI ACADEMY OF AGRI SCI