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Grain yield performance and stability of early maturing maize hybrids
under Striga-infested and Striga-free environments
Samuel A. Adewale
Maize Improvement Program, IITA, Ibadan
Department of Crop Production and Protection, OAU, Ile Ife.
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Introduction
• Maize is most important staple food crop in
sub-Saharan Africa (SSA).
• Maize grain yield is greatly constrained by the
parasitic weed, Striga hermonthica.
• Levels of infestation are often so high that
maize can suffer total yield loss and farmers
usually abandon severely infested fields.
Plate 1: Striga occurrence under natural
infestation in sorghum field.
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• Therefore, there is urgent need for the
identification of diverse parental
combinations for commercial hybrid
production.
Objective
• This study examined the grain yield
performance and stability of hybrids derived
from early maturing inbreds under Striga
infestation and optimal environments.
Plate 2: Striga occurrence under artificial infestation
in maize field.
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Materials and Methods
• Genotype: 190 early hybrids (testcrosses) plus six hybrid checks
• Locations:
 Mokwa (Striga & optimal) (90
18’N, 50
4’E, 457 m altitude, 1100 mm annual rainfall),
 Abuja (Striga) (90
16’N, 70
20’E, 300 m altitude, and 1500 mm annual rainfall)
 Ikenne (Optimal) (60
87’N, 30
7’E, altitude of 60 m, 1500 m rainfall)
• Experimental design: 14 × 14 alpha lattice design, in two replicates.
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• Artificial Striga infestation (Kim 1991; Kim and Winslow 1991)
• Data collection:
Days to anthesis and silking
Plant and ear height
Plant aspect on a scale of 1 to 9
Ear aspect on a scale of 1 to 9
Host plant damage syndrome rating on a scale of 1 to 9
Number of emerged Striga plants
Grain yield
• Statistical analysis
 Analysis of variance (ANOVA) and AMMI biplot analyses
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Results and Discussion
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Table 1: Mean squares of grain yield and other traits of hybrids evaluated across Striga
infested and optimal environments in 2017 growing season.
Source of
variation
Df Yield (kg/ha) EPP ASI PLHT ERHT RATING1 COUNT1
Site 3 304577381** 5.26** 793.00** 45000** 8106.21** 168.07** 102537.19**
Blk(Site*Rep) 104 2617173** 0.06** 1.84* 329.91** 258.66** 1.08* 275.34**
Hybrid 195 5429378** 0.10** 4.45** 331.31** 166.38** 4.19** 250.05**
Hybrid*Site 585 2175969** 0.05** 2.98** 213.00** 127.05178** 1.35** 180.63**
Error 675 1248287 0.04 1.45 211.62 1074.02 0.76 112.73
EPP = Ears per plant, ASI = Anthesis-silking interval, PLHT = Plant height, ERHT = Ear height, RATING1 = Striga damage rating at 8wks after planting,
COUNT1 = Striga count at 8wks after planting;
*, **, significant at 0.05 and 0.01 probability levels respectively.
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Fig 1: Grain yield (kg/ha) of 5 best early maturing maize hybrids under Striga infested, optimal
and across environments.
Entry Pedigree
185 TZEI 1344 x TZdEI 352
190 TZEI 1348 x TZdEI 352
165 TZEI 1305 x TZdEI 352
124 TZEI 1203 x TZEI 31
4 TZEI 762 x TZEI 31
11 TZEI 771 x TZEI 7
12 TZEI 771 x TZEI 18
151 TZEI 1252 x TZEI 7
145 TZEI 1238 x TZdEI 352
121 TZEI 1203 x TZEI 7
15 TZEI 771 x TZdEI 352
Check 1 TZEI 86 x TZEI 60
Check 5 TZEI 32 x TZEI 18
Check 4 TZEI 32 x TZEI 56
Check 2 ENT 3 x TZEI 65
Check 3 TZE-W Pop DT STR C4 x TZEI 7
YIELD(Kg/ha)
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Fig 2: AMMI biplot of grain yield and IPCA 1 of 15 best and 5 worst hybrids evaluated across 4
environments in 2017, in Nigeria.
Entry Pedigree
151 TZEI 1252 x TZEI 7
145 TZEI 1238 x TZdEI 352
4 TZEI 762 x TZEI 31
121 TZEI 1203 x TZEI 7
15 TZEI 771 x TZdEI 352
173 TZEI 1323 x TZEI 19
152 TZEI 1252 x TZEI 18
165 TZEI 1305 x TZdEI 352
188 TZEI 1348 x TZEI 19
124 TZEI 1203 x TZEI 31
186 TZEI 1348 x TZEI 7
12 TZEI 771 x TZEI 18
141 TZEI 1238 x TZEI 7
155 TZEI 1252 x TZdEI 352
176 TZEI 1341 x TZEI 7
118 TZEI 1145 x TZEI 19
104 TZEI 1107 x TZEI 31
24 TZEI 806 x TZEI 31
113 TZEI 1137 x TZEI 19
105 TZEI 1107 x TZdEI 352
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Plate 3: Effects of Striga on maize hybrids at flowering and grain filling stages
Striga susceptible Striga resistant
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Plate 4: Effects of Striga on grain yield of maize hybrids.
Striga susceptibleStriga resistant
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• Significant genetic variability exists among the genotypes, hence good
progress could be made from selection.
• Hybrids TZEI 1344 × TZdEI 352 and TZEI 762 x TZEI 31 were the top
performing in grain yield, under Striga infestation and Striga-free
conditions, respectively.
• Hybrids TZEI 1252 X TZEI 7 and TZEI 771 x TZdEI 352 were high yielding and
most stable across all research environments.
• Top performing hybrids should be tested extensively for release and
commercialization in SSA.
Conclusions
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THANK YOU
MERCI
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Grain yield performance and stability of early maturing maize hybrids under Striga-infested and Striga-free environments

  • 1. www.iita.org I www.cgiar.org Grain yield performance and stability of early maturing maize hybrids under Striga-infested and Striga-free environments Samuel A. Adewale Maize Improvement Program, IITA, Ibadan Department of Crop Production and Protection, OAU, Ile Ife.
  • 2. www.iita.org I www.cgiar.org Introduction • Maize is most important staple food crop in sub-Saharan Africa (SSA). • Maize grain yield is greatly constrained by the parasitic weed, Striga hermonthica. • Levels of infestation are often so high that maize can suffer total yield loss and farmers usually abandon severely infested fields. Plate 1: Striga occurrence under natural infestation in sorghum field.
  • 3. www.iita.org I www.cgiar.org • Therefore, there is urgent need for the identification of diverse parental combinations for commercial hybrid production. Objective • This study examined the grain yield performance and stability of hybrids derived from early maturing inbreds under Striga infestation and optimal environments. Plate 2: Striga occurrence under artificial infestation in maize field.
  • 4. www.iita.org I www.cgiar.org Materials and Methods • Genotype: 190 early hybrids (testcrosses) plus six hybrid checks • Locations:  Mokwa (Striga & optimal) (90 18’N, 50 4’E, 457 m altitude, 1100 mm annual rainfall),  Abuja (Striga) (90 16’N, 70 20’E, 300 m altitude, and 1500 mm annual rainfall)  Ikenne (Optimal) (60 87’N, 30 7’E, altitude of 60 m, 1500 m rainfall) • Experimental design: 14 × 14 alpha lattice design, in two replicates.
  • 5. www.iita.org I www.cgiar.org • Artificial Striga infestation (Kim 1991; Kim and Winslow 1991) • Data collection: Days to anthesis and silking Plant and ear height Plant aspect on a scale of 1 to 9 Ear aspect on a scale of 1 to 9 Host plant damage syndrome rating on a scale of 1 to 9 Number of emerged Striga plants Grain yield • Statistical analysis  Analysis of variance (ANOVA) and AMMI biplot analyses
  • 7. www.iita.org I www.cgiar.org Table 1: Mean squares of grain yield and other traits of hybrids evaluated across Striga infested and optimal environments in 2017 growing season. Source of variation Df Yield (kg/ha) EPP ASI PLHT ERHT RATING1 COUNT1 Site 3 304577381** 5.26** 793.00** 45000** 8106.21** 168.07** 102537.19** Blk(Site*Rep) 104 2617173** 0.06** 1.84* 329.91** 258.66** 1.08* 275.34** Hybrid 195 5429378** 0.10** 4.45** 331.31** 166.38** 4.19** 250.05** Hybrid*Site 585 2175969** 0.05** 2.98** 213.00** 127.05178** 1.35** 180.63** Error 675 1248287 0.04 1.45 211.62 1074.02 0.76 112.73 EPP = Ears per plant, ASI = Anthesis-silking interval, PLHT = Plant height, ERHT = Ear height, RATING1 = Striga damage rating at 8wks after planting, COUNT1 = Striga count at 8wks after planting; *, **, significant at 0.05 and 0.01 probability levels respectively.
  • 8. www.iita.org I www.cgiar.org Fig 1: Grain yield (kg/ha) of 5 best early maturing maize hybrids under Striga infested, optimal and across environments. Entry Pedigree 185 TZEI 1344 x TZdEI 352 190 TZEI 1348 x TZdEI 352 165 TZEI 1305 x TZdEI 352 124 TZEI 1203 x TZEI 31 4 TZEI 762 x TZEI 31 11 TZEI 771 x TZEI 7 12 TZEI 771 x TZEI 18 151 TZEI 1252 x TZEI 7 145 TZEI 1238 x TZdEI 352 121 TZEI 1203 x TZEI 7 15 TZEI 771 x TZdEI 352 Check 1 TZEI 86 x TZEI 60 Check 5 TZEI 32 x TZEI 18 Check 4 TZEI 32 x TZEI 56 Check 2 ENT 3 x TZEI 65 Check 3 TZE-W Pop DT STR C4 x TZEI 7 YIELD(Kg/ha)
  • 9. www.iita.org I www.cgiar.org Fig 2: AMMI biplot of grain yield and IPCA 1 of 15 best and 5 worst hybrids evaluated across 4 environments in 2017, in Nigeria. Entry Pedigree 151 TZEI 1252 x TZEI 7 145 TZEI 1238 x TZdEI 352 4 TZEI 762 x TZEI 31 121 TZEI 1203 x TZEI 7 15 TZEI 771 x TZdEI 352 173 TZEI 1323 x TZEI 19 152 TZEI 1252 x TZEI 18 165 TZEI 1305 x TZdEI 352 188 TZEI 1348 x TZEI 19 124 TZEI 1203 x TZEI 31 186 TZEI 1348 x TZEI 7 12 TZEI 771 x TZEI 18 141 TZEI 1238 x TZEI 7 155 TZEI 1252 x TZdEI 352 176 TZEI 1341 x TZEI 7 118 TZEI 1145 x TZEI 19 104 TZEI 1107 x TZEI 31 24 TZEI 806 x TZEI 31 113 TZEI 1137 x TZEI 19 105 TZEI 1107 x TZdEI 352
  • 10. www.iita.org I www.cgiar.org Plate 3: Effects of Striga on maize hybrids at flowering and grain filling stages Striga susceptible Striga resistant
  • 11. www.iita.org I www.cgiar.org Plate 4: Effects of Striga on grain yield of maize hybrids. Striga susceptibleStriga resistant
  • 12. www.iita.org I www.cgiar.org • Significant genetic variability exists among the genotypes, hence good progress could be made from selection. • Hybrids TZEI 1344 × TZdEI 352 and TZEI 762 x TZEI 31 were the top performing in grain yield, under Striga infestation and Striga-free conditions, respectively. • Hybrids TZEI 1252 X TZEI 7 and TZEI 771 x TZdEI 352 were high yielding and most stable across all research environments. • Top performing hybrids should be tested extensively for release and commercialization in SSA. Conclusions