• español
    • English
  • English 
    • español
    • English
  • Login
baner

CIMMYT Publications Repository

Seeding innovation ... Nourishing hope

Search 
  •   DSpace Home
  • CIMMYT
  • Search
  •   DSpace Home
  • CIMMYT
  • Search
JavaScript is disabled for your browser. Some features of this site may not work without it.

Search

Show Advanced FiltersHide Advanced Filters

Filters

Use filters to refine the search results.

Now showing items 1-10 of 19

  • Sort Options:
  • Relevance
  • Title Asc
  • Title Desc
  • Issue Date Asc
  • Issue Date Desc
  • Type Asc
  • Type Desc
  • Results Per Page:
  • 5
  • 10
  • 20
  • 40
  • 60
  • 80
  • 100
Article
Thumbnail

Genetic gains in grain yield of a maize population improved through marker assisted recurrent selection under stress and non-stress conditions in West Africa 

Abdulmalik, R.O.; Menkir, A.; Meseka, S.; Unachukwu, N.; Ado, S.; Olarewaju, J. D.; Aba, D. A.; Hearne, S.; Crossa, J.; Gedil, M. (Frontiers, 2017)
Marker-assisted recurrent selection (MARS) is a breeding method used to accumulate favorable alleles that for example confer tolerance to drought in inbred lines from several genomic regions within a single population. A ...
Conference Poster
Thumbnail

Increasing genetic gains in wheat through physiological genetics and breeding 

Sukumaran, S.; Reynolds, M.P.; Crossa, J.; Lopes, M.S.; Jarquin, D.; Dreisigacker, S.; Molero, G.; Pinto Espinosa, F.; Piñera Chavez, F.J. (CIMMYT, [2016])
In order to meet future wheat demand it is necessary to increase yield potential and develop stress adapted genotypes. To do so, research and breeding is conducted at CIMMYT through the International Wheat Yield Partnership ...
Article
Thumbnail

Grain yield genetic gains and changes in physiological related traits for CIMMYT's High Rainfall Wheat Screening Nursery tested across international environments 

Gerard, G.S.; Crespo-Herrera, L.A.; Crossa, J.; Mondal, S.; Velu, G.; Juliana, P.; Huerta-Espino, J.; Vargas-Hernández, M.; Randhawa, M.S.; Bhavani, S.; Braun, H.J.; Singh, R.P. (Elsevier, 2020)
Article
Thumbnail

Empirical comparison of tropical maize hybrids selected through genomic and phenotypic selections 

Beyene, Y.; Gowda, M.; Olsen, M.; Robbins, K.; Perez-Rodriguez, P.; Alvarado Beltrán, G.; Dreher, K.A.; Yanxin Gao; Mugo, S.N.; Prasanna, B.M.; Crossa, J. (Frontiers, 2019)
Article
Thumbnail

Efficiency of a constrained linear genomic selection index to predict the net genetic merit in plants 

Ceron Rojas, J.J.; Crossa, J. (Genetics Society of America, 2019)
The constrained linear genomic selection index (CLGSI) is a linear combination of genomic estimated breeding values useful for predicting the net genetic merit, which in turn is a linear combination of true unobservable ...
Article
Thumbnail

Historical changes in grain yield and quality of spring wheat varieties cultivated in Siberia from 1900 to 2010 

Morgounov, A.I.; Belan, I.; Zelenskiy, Y.; Roseeva, L.; Tomoskozi, S.; Bekes, F.; Abugalieva, A.; Cakmak, I.; Vargas Hernández, M.; Crossa, J. (Canadian Science Publishing, 2013)
This study focusses on changes in yield, protein content, micronutrient composition and bread-making quality of 32 historical bread wheat varieties. The germplasm was divided into four groups: viz. 1: bred before 1935; 2: ...
Article
Thumbnail

Genome-enabled prediction models for yield related traits in chickpea 

Roorkiwal, M.; Abhishek Rathore; Das, R.R.; Muneendra K. Singh; Ankit Jain; Samineni Srinivasan; Pooran M. Gaur; Chellapilla Bharadwaj; Shailesh Tripathi; Yongle Li; Hickey, J.M.; Lorenz, A.J.; Sutton, T.; Crossa, J.; Jannink, J.L.; Varshney, R.K. (Frontiers, 2016)
Article
Thumbnail

Genetic yield gains in CIMMYT’s international elite Spring Wheat yield trials by modeling the Genotype X environment interaction 

Crespo Herrera, L.A.; Crossa, J.; Huerta-Espino J.; Autrique, E.; Mondal, S.; Velu, G.; Vargas Hernández, M.; Braun, H.J.; Singh, R. P. (Crop Science Society of America (CSSA), 2017)
We calculated the annual genetic gains for grain yield (GY) of wheat (Triticum aestivum L.) achieved over 8 yr of international Elite Spring Wheat Yield Trials (ESWYT), from 2006–2007 (27th ESWYT) to 2014–2015 (34th ESWYT). ...
Book Chapter
Thumbnail

Chapter 2. The linear phenotypic selection index theory 

Ceron Rojas, J.J.; Crossa, J. (Springer, 2018)
The main distinction in the linear phenotypic selection index (LPSI) theory is between the net genetic merit and the LPSI. The net genetic merit is a linear combination of the true unobservable breeding values of the traits ...
Book Chapter
Thumbnail

Chapter 3. Constrained linear phenotypic selection indices 

Ceron Rojas, J.J.; Crossa, J. (Springer, 2018)
The linear phenotypic selection index (LPSI), the null restricted LPSI (RLPSI), and the predetermined proportional gains LPSI (PPG-LPSI) are the main phenotypic selection indices used to predict the net genetic merit and ...
  • 1
  • 2

Collections

Genetic ResourcesInstitutionalIntegrated DevelopmentMaizeSocioeconomicsSustainable IntensificationWheat

All of DSpace
Communities & CollectionsAuthorsTitlesSubjectsBy YearConferenceJournal
This Community
AuthorsTitlesSubjectsBy YearConferenceJournal

CIMMYT staff access

Login

Discover

Author
Crossa, J. (19)
Cerón-Rojas, J.J. (7)Crespo Herrera, L.A. (4)Huerta-Espino, J. (4)Mondal, S. (4)Singh, R.P. (4)Vargas Hernández, M. (4)Velu, G. (4)Braun, H.J. (3)Alvarado Beltrán, G. (2)... View More
Date Issued
2020 (1)2019 (3)2018 (6)2017 (4)2016 (3)2013 (1)
Type
Article (14)Book Chapter (4)Conference Poster (1)
Agrovoc
GENETIC GAIN (19)
LINEAR MODELS (5)MARKER-ASSISTED SELECTION (5)MAIZE (4)PHENOTYPES (3)PHENOTYPIC VARIATION (3)SELECTION CRITERIA (3)SELECTION INDEX (3)WHEAT (3)CLIMATE CHANGE (2)... View More
Keywords
Allele Frequency (2)Bi-Parental Cross (1)Expected Genetic Gain Per Trait (1)Genomic Estimated (1)Genomic Estimated Breeding Value (1)Genomic Prediction Accuracy (1)Genomic Selection (1)Glutenin Composition (1)Grain Yield (1)Marker Assisted Recurrent Selection (1)... View More
Region
North Africa (1)


baner
 

 


DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback