Parental selection strategy for improving fibre strength and maintaining lint yield in cotton

2019 ◽  
Vol 129 ◽  
pp. 585-593 ◽  
Author(s):  
Jenny C. Koebernick ◽  
Shiming Liu ◽  
Greg A. Constable ◽  
Warwick N. Stiller
Keyword(s):  
Lint Yield ◽  
Selection Strategy ◽  
Fibre Strength ◽  
Parental Selection

scholarly journals Cotton farming systems in Australia: factors contributing to changed yield and fibre quality

2013 ◽  
Vol 64 (8) ◽  
pp. 834 ◽  
Author(s):  
M. V. Braunack
Keyword(s):  
Fibre Length ◽  
Farming Systems ◽  
Quality Parameters ◽  
Lint Yield ◽  
Fibre Strength ◽  
Fibre Quality ◽  
Nitrogen And Phosphorus ◽  
Effect On Yield ◽  
Fertiliser Use ◽  
Applied Nitrogen

This study was undertaken to identify factors in Australian cotton farming systems that influence yield and fibre quality of cotton and how these have changed with time after the wide adoption of Bollgard II® cultivars (containing the proteins Cry1Ac and Cry2Ab, providing easier control of Helicoverpa spp.) in the 2003–04 season. Data from Australian commercial cotton variety trials conducted from 2004 to 2011 were used to link management inputs, yield, and fibre quality. Restricted (residual) maximum likelihood (REML) and regression analyses were used to determine which factors had a significant effect on yield and fibre quality. Results showed that lint yield was significantly influenced by cultivar and growing region, and the interaction between region and the amount of applied nitrogen and phosphorus (kg ha–1), plant stand (plants ha–1), in-crop rainfall (mm) and the number of irrigations, season length (days), and days to defoliation. Generally, the same factors also influenced fibre quality. Regression analysis captured 41, 71, 50, 30, and 36% of the variability in lint yield, fibre length, micronaire, fibre strength, and trash, respectively, for irrigated systems. For dryland systems the variability captured was 97, 87, 77 80, and 78%, respectively. Changes in cotton farming systems from 2004 to 2011 have occurred with applied nitrogen fertiliser increasing under irrigation and decreasing under dryland systems. However, phosphorus fertiliser use has remained steady under irrigated and decreased under dryland systems, and the number of insect sprayings has decreased under both systems. Under irrigated systems, lint yield, fibre length, and trash levels increased while micronaire and fibre strength decreased. Under dryland systems, lint yield decreased while micronaire, fibre length, strength, and trash levels increased. All fibre quality parameters satisfied criteria that would not incur a penalty. The results considering which factors are the most important and which are of lesser importance provide some insight to changes in management in both irrigated and dryland systems and the effect on lint yield and fibre quality and provide some basis for future investment in research and development and extension to the Australian cotton industry.

scholarly journals Identification of superior parental lines for biparental crossing via genomic prediction

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0243159
Author(s):  
Ping-Yuan Chung ◽  
Chen-Tuo Liao
Keyword(s):  
Genetic Gain ◽  
Genomic Prediction ◽  
Genomic Diversity ◽  
Breeding Value ◽  
Selection Strategy ◽  
Parental Selection ◽  
Breeding Values ◽  
Truncation Selection ◽  
Selection Approach ◽  
Parental Lines

A parental selection approach based on genomic prediction has been developed to help plant breeders identify a set of superior parental lines from a candidate population before conducting field trials. A classical parental selection approach based on genomic prediction usually involves truncation selection, i.e., selecting the top fraction of accessions on the basis of their genomic estimated breeding values (GEBVs). However, truncation selection inevitably results in the loss of genomic diversity during the breeding process. To preserve genomic diversity, the selection of closely related accessions should be avoided during parental selection. We thus propose a new index to quantify the genomic diversity for a set of candidate accessions, and analyze two real rice (Oryza sativa L.) genome datasets to compare several selection strategies. Our results showed that the pure truncation selection strategy produced the best starting breeding value but the least genomic diversity in the base population, leading to less genetic gain. On the other hand, strategies that considered only genomic diversity resulted in greater genomic diversity but less favorable starting breeding values, leading to more genetic gain but unsatisfactorily performing recombination inbred lines (RILs) in progeny populations. Among all strategies investigated in this study, compromised strategies, which considered both GEBVs and genomic diversity, produced the best or second-best performing RILs mainly because these strategies balance the starting breeding value with the maintenance of genomic diversity.

COTTON RESPONSES TO SHADE AT DIFFERENT GROWTH STAGES: GROWTH, LINT YIELD AND FIBRE QUALITY

2000 ◽  
Vol 36 (1) ◽  
pp. 27-39 ◽  
Author(s):  
D. ZHAO ◽  
D. M. OOSTERHUIS
Keyword(s):  
Yield Components ◽  
Developmental Stages ◽  
Lint Yield ◽  
Photon Flux ◽  
Fibre Strength ◽  
Growth Stages ◽  
Dry Matter Accumulation ◽  
Fibre Quality ◽  
Lint Percentage ◽  
Boll Weight

Photosynthetic photon flux density (PPFD) has variable effects on cotton (Gossypium hirsutum) plant growth, development and lint yield, but little is known about the responses of yield, yield components and fibre quality to low PPFD at different developmental stages. Field studies were conducted in 1993–95 to determine the effects of an 8-d period of shade (63% reduction in PPFD) imposed at different developmental stages (pinhead square (PHS), first flower (FF), peak flower (PF) and boll development (BD)) on cotton growth, lint yield, yield components and fibre quality. Shade for 8 d at the early square stage did not affect cotton growth and yield. Shade during FF, PF and BD increased fruit abscission, and decreased specific leaf weight, dry matter accumulation, lint yield, fibre micronaire, and fibre strength compared with the unshaded control. The detrimental effect of shade on yield increased with later growth stages. Shade at the FF, PF and BD stages decreased lint yield by 18, 34 and 52% in 1993, and by 18, 21 and 29% in 1994 respectively compared with the unshaded control. Shade caused the greatest decrease in the dry weight (DW) of fruits (squares + flowers + bolls) and the smallest decrease in leaf DW among leaves, stems and fruits. Of the three yield components (boll number, boll weight and lint percentage), boll number was the most sensitive to shade. Shade during squaring and early flowering had little effect on average boll weight, and did not affect lint percentage. Decreased yield of cotton shaded during FF and PF appeared to be related to decreased boll retention. Shade during BD decreased both boll retention and average boll weight. Under shade conditions, fibre micronaire and fibre strength were decreased, while other fibre properties were unaffected. These results help explain the yield response of field-grown cotton to low PPFD stress.

Optimal Route Selection Strategy in Wireless Mesh Networks

2018 ◽  
Vol 6 (1) ◽  
pp. 238-243
Author(s):  
Pushpender Sarao ◽  
◽  
T. Raghavendra Gupta ◽  
S. Suresh ◽  
◽  
...  
Keyword(s):  
Wireless Mesh Networks ◽  
Mesh Networks ◽  
Selection Strategy ◽  
Route Selection ◽  
Optimal Route ◽  
Wireless Mesh

Lint Yield and Resistance to Pink Bollworm in Early‐maturing Cotton 1

Crop Science ◽  
1981 ◽  
Vol 21 (2) ◽  
pp. 213-216 ◽  
Author(s):  
F. D. Wilson ◽  
B. W. George ◽  
R. L. Wilson
Keyword(s):  
Pink Bollworm ◽  
Lint Yield ◽  
Early Maturing

Identifying the Predictors of Self-Management Behaviors in Patients with Diabetes Based on Ecological Approach: A Systematic Review

2020 ◽  
Vol 16 ◽  
Author(s):  
Mahnaz Davari ◽  
Hamed Rezakhani Moghaddam ◽  
Aghil Habibi Soola
Keyword(s):  
Scientific Information ◽  
The Self ◽  
Self Management ◽  
Ecological Approach ◽  
Selection Strategy ◽  
Diabetic Patients ◽  
Personal Factors ◽  
Management Interventions ◽  
Number Of Patients ◽  
Management Behaviors

Background: Recognizing and promoting the factors that affect the self-management behaviors of diabetes leads to a reduction in the number of patients and an improvement in the quality of care. The ecological approach focuses on the nature of people's interactions with their physical and socio-cultural environments. Objective: The purpose of this study was to identify the predictors of self-management behaviors with a comprehensive approach in these patients. Methods: The Keywords were investigated in the relevant national and international databases, including PubMed, Google Scholar, Science Direct, Scopus, and Scientific Information Database, Magiran, and Iran Medex to obtain the articles published from 2009 to 2019. The search and article selection strategy was developed based on the Prisma checklist and was carried out in three steps. Results: Most studies have shown that personal factors had the highest prediction power for the self-management of diabetes. Then, the interpersonal factors, society and policy-making factors, and group and organization factors were most frequently reported predictors of self-management behaviors in diabetic patients. Conclusion: Self-management of diabetes is necessary for controlling it because 95% of care is done by the patient. When designing self-management interventions, factors based on the individual level that increasing self-management behaviors should be taken into account.

User-Driven Network Selection during Vertical Handover in 4G Networks

2017 ◽  
Vol 10 ◽  
pp. 1
Author(s):  
Abubakar Muhammad Miyim ◽  
Mahamod Ismail ◽  
Rosdiadee Nordin
Keyword(s):  
Blocking Probability ◽  
Service Selection ◽  
Vertical Handover ◽  
Network Selection ◽  
Selection Strategy ◽  
Intelligent Network ◽  
Decision Algorithm ◽  
Radio Access ◽  
Service Application ◽  
Multi Access

The importance of network selection for wireless networks, is to facilitate users with various personal wireless devices to access their desired services via a range of available radio access networks. The inability of these networks to provide broadband data service applications to users poses a serious challenge in the wireless environment. Network Optimization has therefore become necessary, so as to accommodate the increasing number of users’ service application demands while maintaining the required quality of services. To achieve that, the need to incorporate intelligent and fast mechanism as a solution to select the best value network for the user arises. This paper provides an intelligent network selection strategy based on the user- and network-valued metrics to suit their preferences when communicating in multi-access environment. A user-driven network selection strategy that employs Multi-Access Service Selection Vertical Handover Decision Algorithm (MASS-VHDA) via three interfaces; Wi-Fi, WiMAX and LTE-A is proposed, numerically evaluated and simulated. The results from the performance analysis demonstrate some improvement in the QoS and network blocking probability to satisfy user application requests for multiple simultaneous services.

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