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Program Grants and Outputs for Year 2004

 

Grant Title:

Participatory evaluation of upland rice varieties and determination of suitable crop management practices in Uganda

PI:

George Bigirwa

Contact Details

Dr George Bigirwa, NARO/NAARI

P.O. Box 7084, Kampala, Uganda

phone: +256 41 573016

fax: +256 75 726554

email: g.bigirwa@naro-ug.org

Grant No:

2004 FS 065

Grantee:

National Agricultural Research Organization

Amount:

$118,650

Duration:

Project Outputs

 

RICE EVALUATION TRIAL AT NAMULONGE 2005A

 

Results and discussion

 

Varieties performed relatively well with an average yield of 5.4 t/ha. All varieties gave a yield above average with exception of three varieties; WAB 880-14, WAB 880-29, WAB 880-21, NERICA 6 and NERICA 3 (Table 1). Hence there were no significant differences observed in yield. Two varieties however, NARIC 1 which is the local check and NERICA 7 gave the highest yields of 7.0 and 6.9 t/ha. Related to yield was the 50% days to flowering where a mean of 78.6 days was obtained. All varieties appear to have a similar range of flowering date ranging between 76 and 79. The earliest of all of them was NERICA 5 with 73.7 days followed by FOFIFA 4129 with only 74.7 days. NERICA 7 was the longest maturing variety with 88 days followed by NERICA 1 (Table 1). The highest yielder, NARIC 1 was the third in attaining 50% days to flowering. The mean obtained for panicle length was 22.8 cm and the differences were not significantly different. Variety FOFIFA 4355 had the shorted panicle measuring 20.7 cm followed by NERICA 2 with 21.6 cm (Table 1).   It was commonly observed that varieties with long panicles had more grains but not all grains were well filled. Since varieties showed significant differences in weight of empty grains, it was felt important to estimated the loss due to poor grain fill. Grain obtained from harvested area per plot was put in a bucket of water and the poorly filled together with empty grains floated while the well filled grain settled at the bottom. Well filled and empty grains were dried and latter weight but each lot was handled separately. The percentage of empty grain was obtained using the formula:

 

Grain loss= ((Weight of well filled grain – Weight of empty grain)/Weight of well filled grain)*100%

 

Varieties showed significant (P=0.01) differences in grain loss due to poor filling/empty grain, with WAB 880-21, which was one of the lower yielders gave the highest grain loss of 33.0%, followed by WAB 880-14 which again was the second lowest yielder. The lowest grain loss was obtained from five varieties (NERICA 1, NERICA 6, NERICA 5, FOFIFA 4129 and NARIC 2) with a range of 7.0 to 7.8%.  Poor grain filling is usually attributed to bird damage, drought at flowering, or abortion.

Analysis from Pearson correlation showed a strong positive correlation between percentage grain loss and weight of empty grains (Table 2). What it means is that as the number of empty grains or weight of empty grains continue going up, the yield loss increases. The other positive correlation was observed between grain weight and culm length. The longer the culm the longer it takes to attain 50% flowering as reflected by a positive correlation.

 

YIELD PERFORMANCE OF 3 NERICAS ON FARMERS’ FIELDS

 

NARIC 3 which is NERICA 4 is the only NERICA variety on market and therefore being grown by farmers. It takes 120 days to mature as compared to some other NERICAs which mature earlier. WARDA which developed NERICAs still has a problem of raising enough seed to satisfy the demands of various national programs, non-governmental organization and community based organizations.

 

In this small trial because of limited amount of seed, three NERICAs, namely NERICA 1, NERICA 2, NERICA 4 and NERICA 5 plus 2 checks NARIC 1 and NARIC 2 were evaluated on two farms in Masindi district. The trial was arranged in a randomized complete block design with three replications. Each plot measured 5 meters long with 6 rows. Fertilizer application and general crop management was as in the above trial.

The average yield on the 2 farms was 6.2 t/ha. The performance of the varieties was not consistent. At Mr. Kisembo’s farm the yields were higher with NARIC 1 the local check giving the highest yield of 7.8 t/ha followed by NERICA 5 with 7.2 t/ha (Figure 1). While at Mr. Magona’s farm NARIC 2 gave the highest yield of 6.5 t/ha followed by NERICA 1 with 6.4 t/ha. NARIC 1 which was the best at Mr. Kisembo’s farm was the fourth at Magona’s. Overall, the NERICAs performed as equally good as the non- NERICAs. This explains why some farmers prefer non- NERICAs like NARIC 1 and NARIC 2 as opposed to NARIC 3 (NERICA 4). Farmers should be encouraged to grow varieties of their choice even if they are not NERICAs. From this work also more seed for other trials like the Mother and Baby will be obtained to enable putting up more trials.

 

RESPONSE OF RICE VARIETIES TO LEVELS OF NITROGEN

  

Methodology

The response of rice varieties was evaluated in the major rice growing districts of Luweero, Masindi, Iganga, Wakiso and Mubende. Four varieties of rice; NARIC 1, NARIC 2, NARIC 3 and Superica 2 were evaluated against 4 levels of nitrogen: 0 kg N, 40 kg N,  80 kg N and 120 kg N/ha. Four trials were established per district on farmers’ fields and during analysis each farmer was considered a replication.

 

A reference trial was established at Namulonge Research Institute whereby the four varieties planted on-farm were also planted  in a manner similar to when it was planted on-farm. There was a drought in most of the districts at the beginning of panicle development which reduced the effect of the treatments. In Mubende district, the dry spell that started before flowering continued until the end of the season to the extent that no yield data was obtained. For instance at Namulonge Research Institute, as shown in Figure 2, flowering occurred in May and rainfall was characteristically low.

 

Results and discussion

 

Varieties did not show any significant difference in the yield and noe were the nitrogen levels (Table 3). All the rates of nitrogen applied significantly increased the number of grains per panicle in all the 4 varieties (P<0.001). However, application of 80 kg N resulted in the highest grain number per panicle and 0 nitrogen had the lowest number of grains. There was a significant difference in the number of grains per panicle among the varieties with NARIC 3 and Superica 2 having the highest number of grains per panicle. Besides, application of nitrogen at the rate of 80 kg N/ ha resulted in the longest panicle which was longer than in other rates. NARIC 3 had the longest panicle which was significantly longer than that of other varieties. Increasing nitrogen rate to 120kgN/ha significantly decreased the panicle length.

 

ON FARM TRIALS

 

On farm trials were established in to identify variety x nitrogen interactions and help advise farmers on the rates to use for particular varieties. The results from on-farm trials were analyzed for grain yield, the length of the panicle and the grain number per panicle.

In Wakiso, the highest yielding variety was NARIC 2 followed by NARIC 3 (Table 3). There was little response to the applied nitrogen. The greatest response was when 40 kg N/ha was applied.

There was a slight reduction in yield when nitrogen was applied at the highest level of 120 kg N/ha. The inversion of the yield due to application of high nitrogen level could be associated with the observed delay in maturity at the high nitrogen level which resulted in the crop being affected by the dry spell more. This could be associated with the number of grains per panicle.

 

In Luweero district, the interaction between varieties and nitrogen levels was significant although the main effect of nitrogen and varieties were not significant (Table 4). The grain yield of NARIC 1 increased with increasing nitrogen level up to 80 kg N/ha. Increasing nitrogen applied to 120 kg N had the lowest yield. NARIC 2 had the lowest yield when there was no nitrogen applied after which there was a small but progressive decrease in yield with increasing rates of nitrogen.

 

The yield response of NARIC 3 was similar to that of NARIC 2. Grain Yield of Superica 2 was highest at 40 kg N /ha. There was a highly significant difference among farms (replicates) and a highly significant farm x variety interaction suggesting that other farm specific factors interacted with the varieties.

 

The highest number of grains per panicle was obtained when nitrogen was applied at the rate of 40 kg N/ha. Increasing the level of nitrogen beyond 80 kg N/ha depressed the number of grains per panicle. The reduction was related to the unfilled spikelets as the panicle length was not as much affected. All the varieties had similar number of grains per panicle except for NARIC 1 which had a significantly lower number than the others.

 

In Masindi, application of 40 kg N/ha increased rice yield by 17 % and the application of 120 kg N/ha increased the yield by 44% (6.92 t/ha vs. 4.80 t/ha) as indicated in Table 6. NARIC 3 and Superica 2 which are the NERICA varieties had the lowest yield when nitrogen was not applied but they had the best response to the low rate of 40 kg N per ha. To the extent that their yields were similar to those of NARIC 1 and NARIC 2 at this rate. Their yields were marginally higher at the highest rate of nitrogen applied.   The length of the panicle was only slightly increased by the level of nitrogen applied.

 

RESPONSE OF NERICA TO LEVELS OF NITROGEN, PHOSPHORUS AND POTASSIUM - NAARI 2005A

 

Background

Upland rice production is a relatively new venture in the Ugandan farming.  It is being promoted when the nutrient status level of our soils is not updated.  The capacity of the soils to supply the macro-nutrients is not known. There is also a possibility that the requirements of NERICA are different from those of Oryza sativa suggesting that any information about O. sativa might not be sufficient for Nerica and yet most farmers in the country have shown interest for the new rice It is therefore necessary to establish the fertility requirement of the rice type as a recommendation to go with the varieties. Soil fertility is location specific depending on the history of the field in relation to the length of cropping after fallow and the overall management. It will also depend on the inherent soil fertility of the field. There can therefore be no data generated at a location that can be directly applied to another location. Soils information therefore is best generated at the farms within a region.  Work carried out on-station, however is necessary to establish the range within which to test on farmers’ fields. It was against this background that the trial was conducted on the response of NERICA to levels of N, P, and K at Namulonge Research Institute.

 

Methodology

The performance of NARIC 3 (NERICA 4) was evaluated at four nitrogen levels, 3 phosphorus levels and three levels of potassium at Namulonge Research Institute during the 2005A season. The nitrogen levels were; 0, 40, 80 and 120 kg N/ha, phosphorus was applied at the rates of 0, 20 and 40 kg P/ha and potash was applied at 0, 20 and 40 kg K/ha.  The design was randomized complete block with treatments in a factorial arrangement. The nitrogen source was urea, phosphorus was supplied by triple Super Phosphate (TSP) and Potassium was supplied by Muriate of potash. Phosphorus was applied and incorporated in the seedbed before planting and half the nitrogen and all the potassium were applied at three weeks after planting the rice. The rest of the nitrogen was applied as side dressing at 8 weeks after planting at about the time of maximum tillering.

The individual plot size was 3 m x 4 m. The weather was generally conducive for rice production in the early part of the season. It was however dry during the reproductive phase which is likely to have affected the number of panicles per unit area and the number of spikelets per panicle. It was however, better during the grain filling phase.

 

Results and Discussion

There were responses to the applied nutrient especially when nitrogen was applied (Table 5). The results obtained indicate that there were no significant differences among treatments. Some differences would have been expected especially among nitrogen levels. The possible reason why the treatments had no significant effect was related with the moisture stress during the heading of the crop. Although NARIC 3 is fairly resistant to water deficit stress, it is not resistant enough to severe moisture stress.

 

RESPONSE OF RICE VARIETIES TO NITROGEN WHEN PLANTED AT DIFFERENT SEED RATES

 

Background

Rice, like many species of the Poaecea (gramineae) family, has the capacity to tiller. The tillering capacity is greatly influenced by the rice type, the variety and the amount of nutrients especially nitrogen available to the plant during the vegetative phase. The availability of a nutrient to the plant depends on its availability in the soil and the number of plants that compete for it. The tillering ability of upland rice varieties in Uganda is not documented. It is also not known whether there is a difference between the Oryza sativa and NERICA rice as regards the tillering ability. Farmers plant rice in fields with varying soil fertility and apply different levels of nutrient. The fertility of fields decline after seasons of cropping. It is important to know the response of varieties and/or types to fertility dynamics of the soil with the changes and find ways to respond. The objective of the study is to determine the response of rice types to nitrogen when the seed rate varies.

 

Methodology

Two varieties of rice were planted at four seed rates at Namulonge Research Institute. They were subjected to four levels of nitrogen. The varieties planted were NARIC 2 representing Oryza sativa and NARIC 3 representing the Nerica type. They were planted at seed rates of 30, 60, 90 and 120 kg of seed per hectare. Nitrogen was applied to the rice at the rates of 0, 40, 80 and 120 kg of nitrogen per ha. One thousand seeds of NARIC 2 weighed 31 g and that of NARIC 3 weighed 27 g. The crop was planted in rows 30 cm apart and the appropriate seed quantity was drilled into shallow furrows and covered lightly with soil. It was planted on March 10, 2005 when it was assumed that the rains had become stable. The trial was a factorial randomized complete block design in a split-split plot arrangement with the varieties as the main plot, the nitrogen rates as the sub-plot  and the seed rates sub-sub plot. The individual plot was 1.5 m x 4 m. There was a slight moisture shortage at the beginning of the season which had a negative effect on crop germination and establishment, the rest of the vegetative phase except for a brief moisture shortage about the time of flowering. The grain filling phase had enough moisture for the crop. Data collected included; tiller count, number of panicles per unit area and the grain yield and its components

 

Results

There was a significant contribution of the dry spell at the time of panicle formation on the yield outcome (Table 4a). NARIC 2 variety yielded 26 % higher grain than NARIC 3 ( 5.03 t/ha compared with 3.99 t/ha) as per table 4. NARIC 2 flowered about 10 days earlier than NARIC 3. NARIC 3 is likely to have been affected by the dry spell than NARIC 2 which could have escaped the severity of the dry spell. The trial needs to be repeated to verify the results obtained. There was a significant increase in yield associated with the application of nitrogen. Application of 40 Kg of nitrogen increased grain yield by 36%. Nitrogen application did not increase rice yield with higher rates of application.

 

Application of nitrogen affected the tiller production which was associated with the variety (data not indicated). Planting rice varieties at different seed rates and applying varying levels of nitrogen had a significant effect on the number of tillers that survived to form panicles (Table 9). The moisture stress at the time of flowering is likely to have an effect on the number of tillers that headed thus affecting the number of panicle per unit area.

 

In conclusion, it can be said that the results obtained from the study suggest some trends although they must have been influenced by the bad weather at the time of heading. The trial will be repeated to confirm the results obtained.

 

CHEMICAL WEED CONTROL FOR RICE

 

Introduction

Weeds are a major production constraint in rice production. This is especially so if the weeds are grass weeds which look like rice in their seedling stage. The rice seedling is weak and therefore not likely to compete with the aggressive broadleaf weeds. Hand weeding is time consuming and laborious and this tends to limit the farm size under rice for the smallholder farmer using family labour. Some farmers have abandoned whole fields because they cannot cope up with weeds. Others have used it as the excuse to clear forests for rice production claiming that the crop is less weedy if the land was virgin land (Plate 1). Though the use of herbicides is likely to be expensive, it could be used by farmers who would otherwise abandon rice production due to a lot of weeds. The objective of the study was to evaluate the efficacy of herbicides in the country that have been recommended for weed control in rice.

 

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