Minor millets in South Asia: learnings from IFAD-NUS project in India ...
Minor millets in South Asia: learnings from IFAD-NUS project in India ...
Minor millets in South Asia: learnings from IFAD-NUS project in India ...
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
76 m<strong>in</strong>or <strong>millets</strong> <strong>in</strong> south asia<br />
6.2. Participatory variety selection<br />
Farmer participatory varietal selection has been found to be very useful <strong>in</strong> crop<br />
improvement (Joshi and Witcombe, 1996). In the farmer managed participatory rural<br />
(FAMPAR) trials conducted <strong>in</strong> 2003, one improved variety along with the local variety<br />
was grown <strong>in</strong> an area of 0.4 ha by the <strong>in</strong>dividual farmers adopt<strong>in</strong>g the prevail<strong>in</strong>g<br />
cultivation practices. Each variety was given to three farmers <strong>in</strong> the same village to<br />
serve as replications. Thus, five test entries were tested by 15 farmers <strong>in</strong> each village.<br />
Also, two farmers were given all the five varieties to test the comparative performance<br />
of all the five varieties. After sow<strong>in</strong>g, regular visits of the scientists dur<strong>in</strong>g the crop<br />
growth period were made to keep up the cont<strong>in</strong>uous <strong>in</strong>teraction with the farmers. This<br />
enabled proper execution of the trials as well as for gather<strong>in</strong>g farmers’ perception on<br />
the material under test<strong>in</strong>g.<br />
The performance of the varieties <strong>in</strong> each FAMPAR trial <strong>in</strong> each village was judged<br />
visually as well as quantitatively by a select group of 20 farmers specially formed for<br />
this purpose, so that the f<strong>in</strong>al judgment and rank<strong>in</strong>g of varieties were solely made<br />
by the farmers themselves. The group visited all the trial plots. Scientists, extension<br />
officers and key officials also accompanied the farmers’ group. The <strong>in</strong>put provided<br />
by the group was used for formulat<strong>in</strong>g a pre-harvest rank<strong>in</strong>g of varieties along with<br />
local check, by assess<strong>in</strong>g important characters, namely, crop duration, panicle type<br />
and size, disease resistance, drought tolerance, gra<strong>in</strong> density and estimated yield<br />
potential. After the harvest, gra<strong>in</strong> and fodder yield data were collected <strong>from</strong> all trial<br />
plots for a more critical comparison.<br />
In FAMPAR little millet trial, the mean gra<strong>in</strong> yield data (Table 4) <strong>in</strong>dicated that<br />
the cultivar Sukshema was superior to other five entries <strong>in</strong> all the three locations.<br />
Variety Sukshema recorded the highest overall mean gra<strong>in</strong> yield of10.30 q/ha with<br />
the yield <strong>in</strong>crease of 73.69% over the local variety used as check. The next better<br />
perform<strong>in</strong>g variety was TNAU 98 which ranked second with an overall mean gra<strong>in</strong><br />
yield of 8.88 q/ha, account<strong>in</strong>g for an <strong>in</strong>crease of 49.74% over the local variety. The<br />
varieties OLM 20, PRC 3 and CO 2 recorded 8.32 q/ha, 8.18 q/ha and 7.58 q/ha<br />
gra<strong>in</strong> yield, register<strong>in</strong>g an <strong>in</strong>crease of 40.3%, 37.94%, and 27.82%, respectively.<br />
Table 4. Performance of little millet varieties over three locations (2003)<br />
S. No. Varieties Mean gra<strong>in</strong> yield (q/ha) Mean gra<strong>in</strong><br />
Jek<strong>in</strong>akatti Channapura<br />
Tanda<br />
Harabagonda<br />
yield over<br />
locations<br />
(q/ha)<br />
Increase<br />
over local<br />
check (%)<br />
1 sukshema 14.66 10.08 6.16 10.30 73.69<br />
2 tnau 98 12.46 9.16 5.03 8.88 49.74<br />
3 olm 20 12.56 8.25 4.16 8.32 40.30<br />
4 prC 3 12.56 8.00 4.00 8.18 37.94<br />
5 Co 2 11.33 7.91 3.50 7.58 27.82<br />
6 local 8.59 5.44 3.76 5.93 -