Allelic Frequency Change of P1 Gene in Maize Population After Recurrent Selection for Grain Yield

Crop Science ◽  
1998 ◽  
Vol 38 (5) ◽  
pp. 1391-1394 ◽  
Author(s):  
E. Frascaroli ◽  
P. Landi
Keyword(s):  
Grain Yield ◽  
Recurrent Selection ◽  
Allelic Frequency ◽  
Frequency Change ◽  
Maize Population ◽  
Selection For

Recurrent Selection for Grain Yield in a Maize Population 1

Crop Science ◽  
1983 ◽  
Vol 23 (3) ◽  
pp. 536-540 ◽  
Author(s):  
N. N. Mulamba ◽  
A. R. Hallauer ◽  
O. S. Smith
Keyword(s):  
Grain Yield ◽  
Recurrent Selection ◽  
Maize Population ◽  
Selection For

Changes in genetic variances and heritabilities in an early white maize population following S1 selection for grain yield, Striga resistance and drought tolerance

2016 ◽  
Vol 155 (4) ◽  
pp. 629-642 ◽  
Author(s):  
B. BADU-APRAKU ◽  
M. OYEKUNLE ◽  
A. O. TALABI ◽  
B. ANNOR ◽  
I. C. AKAOGU
Keyword(s):  
Drought Tolerance ◽  
Grain Yield ◽  
Recurrent Selection ◽  
Central Africa ◽  
Maize Production ◽  
Genetic Variances ◽  
Maize Population ◽  
Ear Height ◽  
Selection For ◽  
Advanced Cycles

SUMMARYDrought is a major constraint to maize production in West and Central Africa (WCA). Assessment of genetic gain from S1 recurrent selection under drought is crucial for the development of drought tolerance breeding strategies. In an early white population, 60 S1 families each derived from the base population and three cycles of selection were evaluated under drought and well-watered conditions at two locations in Nigeria for 2 years to determine genetic variability, gains from selection and predict response to selection for grain yield and other traits. Genetic variances generally decreased for yield and other traits in advanced cycles under drought and well-watered conditions except yield and ear height under well-watered conditions. Similarly, heritabilities for yield and other traits decreased in advanced cycles under drought but increased in advanced cycles under well-watered conditions. Realized gain for yield was 0·291 t/ha, corresponding to 30·5% per cycle under drought and 0·352 kg/ha with a corresponding gain of 16·7% per cycle under well-watered conditions. Predicted gain based on C3 was 0·282 and 0·583 t/ha under drought and well-watered conditions. Low genetic variances, heritabilities and predicted gain for yield and other traits suggested a need to introgress drought tolerance genes into the population.

Divergent full-sib recurrent selection for germination at low temperature in a maize population

Euphytica ◽  
1992 ◽  
Vol 64 (1-2) ◽  
pp. 21-29
Author(s):  
P. Landi ◽  
E. Frascaroli ◽  
A. Lovato
Keyword(s):  
Low Temperature ◽  
Recurrent Selection ◽  
Maize Population ◽  
Selection For

Recurrent Selection for Grain Yield in Durum Wheat

Crop Science ◽  
1995 ◽  
Vol 35 (3) ◽  
pp. 714-719 ◽  
Author(s):  
O. B. Olmedo‐Arcega ◽  
E. M. Elias ◽  
R. G. Cantrell
Keyword(s):  
Grain Yield ◽  
Durum Wheat ◽  
Recurrent Selection ◽  
Selection For

GENETIC RELATIONSHIPS BETWEEN GRAIN YIELD AND YIELD COMPONENTS IN A SYNTHETIC MAIZE POPULATION AND THEIR IMPLICATIONS IN SELECTION

2001 ◽  
Vol 49 (4) ◽  
pp. 337-342 ◽  
Author(s):  
N. VASIC ◽  
M. IVANOVIC ◽  
L. A. PETERNELLI ◽  
D. JOCKOVIC ◽  
M. STOJAKOVIC ◽  
...  
Keyword(s):  
Grain Yield ◽  
Genetic Correlation ◽  
Yield Components ◽  
Genetic Relationships ◽  
Maize Population ◽  
Selection Indices ◽  
Ear Height ◽  
Selection For ◽  
Efficiency Of Selection ◽  
Simple Selection

The synthetic maize population 316PO2 was subjected to genetic correlation analyses between grain yield, yield components and morphological traits. The purpose was to enable estimates to be made of the advantage of using selection indices compared with selection based on grain yield only, and if that advantage was present, to choose enough simple selection indices for practical use. Selection indices were constructed out of four traits highly significantly correlated with grain yield, in addition to yield itself. Grain yield exhibited a highly significant additive genetic correlation with ear diameter (ra=0.588**), kernels row-1 (ra=0.643**), ears plant-1 (ra=0.871**) and ear height (ra=0.427**). The most efficient index was Index No. 14 (R.E.I12345= 108.83%), which included all four traits and grain yield. Index No. 3, one of the simplest forms of index, including only ears plant-1 and grain yield, showed slightly less relative efficiency (R.E.I35=107.24%) than Index No. 14. Using this simple form of index with two characters (Index No. 3) could improve the efficiency of selection for grain yield. The estimated advantage from its use is 179.6 kg/selection cycle for grain yield over selection based only on grain yield.

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