Agriculture Reference
In-Depth Information
quantitative trait loci (QTL) introgression, and recombinant inbred lines, accom-
panied by shuttle breeding schemes, direct seeding, and evaluation/selection
in hot spots for main diseases are being used by CIAT and NARES in the region.
In this process, methods for screening for diseases and other stresses were
established. Networking has been a cornerstone for success and several networks
such as INGER, FLAR, and HIAAL were created.
Looking forward, as farmers
yields are approaching the genetic yield
potential exhibited by current cultivars, as a result of improved agronomic mana-
gement, a new breakthrough is needed in terms of more productive cultivars. To
achieve this goal, a strategy is needed that includes strong pipelines focused on
speci
'
ling; integration between
discovery, development, and delivery; and new breeding strategies using cutting-
edge technologies and new breeding methods to accelerate genetic gains.
c environments and markets; better product pro
KEYWORDS:
Latin America;
Oryza sativa
; plant improvement
ABBREVIATIONS AND ACRONYMS
I. INTRODUCTORY REMARKS
II. THE CIAT RICE PROGRAM
A. History of the CIAT Rice Program
B. Impacts of the CIAT Rice Breeding Program
1. Core Breeding Collection, Breeding Strategies, and Methodologies
2. Strong and Regionally Relevant Rice Improvement Program Through
Productive Partnerships
3. Integration of Different Disciplines in Variety Development
4. Collaboration Among CIAT
s Regional Programs, National Rice Research
Programs, and International Institutions
5. Training and Capacity-Building Programs
C. The Way Forward
III. ADVANCES IN POPULATION IMPROVEMENT IN LATIN AMERICA AND THE
CARIBBEAN
A. Population Improvement in Latin America and the Caribbean
B. New Advances in Rice Population Improvement
C. Expanding LAC Rice Population Improvement Experiences
IV. GENETICS AND GENOMICS APPROACHES TO IMPROVE RICE BREEDING
A. DNA Marker Technologies
B. QTL and Gene Mapping
1. Genetics of Interspeci
'
c Hybrid Sterility
2. Mapping of QTLs with Resistance to RHBV
3. Detecting QTLs for Resistance to Rice Stripe Necrosis Virus (RSNV) and
Yield Components
4. Genome-Wide Association Studies
5. Nested Association Mapping
C. Marker-Assisted Breeding
1. MABC for Resistance to RHBV
2. Wild Introgressions
3. Interspeci
c Bridges
4. Universal Core Genetic Map
5. Genomic Selection
