P. Okinda Owuor; Department of Chemistry, Maseno University, Private Bag, Maseno, Kenya

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YIELD AND BLACK TEA QUALITY RESPONSES OF CLONE BBK 35 TEA TO NITROGEN FERTILIZER RATES AND HARVESTING INTERVALS IN THE LAKE VICTORIA BASIN OF KENYA P. Okinda Owuor; Department of Chemistry, Maseno University, Private Bag, Maseno, Kenya

Introduction Tea, Camellia sinensis (L.) O. Kuntze is cultivated from 49ºN, outer Carpathians to 30ºS, Natal, South Africa and from altitudes varying from sea level in Japan to above 2700m above mean sea level (amsl) in Olenguruone, Kenya and Gisovu, Rwanda. In Kenya, it is grown on the foothills of Abardare ranges and Mount Kenya in the East of the Great Rift Valley and the Mau ranges, Nandi, Kisii and Kakamega Hills in the West of the Great Rift Valley of Kenya. Tea is widely adaptable to geographical areas with large differences in climate and physical features which affect rates of growth, leading to yields and quality variations. Such variations may require different management strategies to maximise yields and quality.

Introduction Continues Previous studies demonstrated wide responses in yields of tea genotypes to different environments. Quality variations have also been recorded due to environmental factors and geographical area of production. Previous studies were confounded by use of different genotypes. Despite noted differences due to growth factors, agronomic recommendations are usually uniform within one country or region.

Important Agronomic Inputs Harvesting is the most expensive agronomic inputs in tea production. Nitrogen fertilizer application is the second most expensive agronomic inputs in tea production It is necessary to establish the optimal nitrogen rates and plucking intervals to optimise quality in different regions within Lake Victoria basin, using one tea cultivar

Some Problems of Plucking in Different Locations Previous studies to formulate plucking policies, especially intervals were conducted at single sites and the results from the Studies were assumed replicate in all tea growing regions. In 2002, Wachira et al, (2002) demonstrated large variations yield of tea genotypes within Kenya suggesting that the recommended production policies even within one country could be inappropriate for some tea growing areas. The recommended plucking interval in Kenya varies from 7 to 14 days. The variations in yields and plain tea quality parameters with area of production and harvesting intervals using one tea genotype under uniform management were evaluated in this presentation.

Need for Application of Nitrogenous Fertilizers and Consequences Needs: The application of nitrogen fertilizer is necessary as it increases yields. Consequences: Raises costs of production High rates of nitrogen may lower resultant black tea quality. May affect the environment and render productive lands moribund.

Nitrogenous Fertilizer Use on Tea Indifferent Countries Country N rate (Kg N/ha/year) Country N rate (Kg N/ha/year) North India 100-200 South India 120-200 Sri Lanka 120-360 Malawi 180-300 Kenya 100-250 Queensland (Australia) 182 Malaysia 153-270 Indonesia 120-200 Vietnam 36-40 USSR 200-300 Turkey 112 Taiwan 150 Congo (Kivu) 45-150 Japan 800 Source: Owuor & Wanyoko, Tea, 17, 53-59 (1996) and references therein

Amount of Nutrients Removed with Crops Nitrogen ~ 4% Phosphorous ~0.2% Potassium ~ 2% For tea Yielding 8000 kg mt/ha/year Nitrogen (N) 320 kg mt Phosphorous (P 2 O 5 ) 36 kg mt Potassium (K 2 O) 193 kg m For tea yielding 10,995 kg mt/ha/year Nitrogen (N) 440 kg mt Phosphorous (P 2 O 5 ) 50 kg mt Potassium (K 2 O) 265 kg m (Source: Oyamo, Tea, 13, 1, (1992)

Study Sites Location Altitude Latitude Longitude Karirana 2260m amsl 1 0 6 S 36 0 39 E Timbilil 2180m amsl 0 0 22 S 35 0 21 E Changoi 1860m amsl 0 0 29 S 35 0 14 E Sotik Highlands 1800m amsl 0 0 35 S 35 0 5 E Kipkebe 1800m amsl 0 0 41 S 35 0 5 E

Effects of Geographical Area of Production and Nitrogenous Fertiliser Rates on the Yields of Clone BBK 35 in 2007 and Mean from 2003 to 2007 Year Location Rate of nitrogen (kg N ha -1 year -1 ) Mean 0 75 150 225 300 location 2007 Kipkebe 1625 2829 3460 3534 3495 2989 Sotik Highlands 3020 4393 5011 5403 5369 4639 Karirana 3751 4098 4759 4831 4777 4443 Changoi 3344 4377 4616 4357 4717 4282 Timbilil 2194 3006 3313 3519 3721 3150 Mean rate 2787 3741 4232 4329 4416 CV (%) 6.92 LSD, (P < 0.05) 274 274 Interactions 467 1998-2007 Kipkebe 1947 2977 3534 3657 3859 3194 Sotik Highlands 3151 4034 5112 5720 5942 4792 Karirana 3379 3393 3693 3647 3635 3549 Changoi 3952 4595 4757 4925 4928 4632 Timbilil 2359 2982 3532 3309 3451 3126 Mean rate 2957 3595 4126 4252 4363 CV (%) 5.55 LSD, (P < 0.05) 217 217 Interactions 371

Effects of geographical area of production and plucking intervals on the yields of clone BBK 35 (2007 and mean 1998 to 2007) Year Plucking Round (days) Kipke be Sotik Highlands Site Karira na Chang oi Timbi lil Mean plucking round 2007 7 3460 5011 4759 4616 4646 4298 14 3778 4527 4875 5150 3532 4372 21 3421 4275 4870 5129 4499 4439 Mean site 3553 4604 4835 4965 3892 CV (%) 7.22 LSD,( P < 0.05) 413 NS Mean 1998 to 2007 Interactions 594 7 3534 5112 3693 4757 3532 4126 14 4033 4714 3241 5265 3223 4095 21 3465 4697 2793 5365 3462 3957 Mean site 3678 4841 3229 5129 3405 CV (%) 7.21 LSD,( P < 0.05) 383 NS Interactions 511

Yield (kg mt/ha/year) Annual Mean (Ten Years) Response of BBK 35 to Varying Rates of Nitrogenous Fertilizer at Different Sites 5800 5300 4800 Magura Sotik Highlands Karirana Changoi Timbilil 4300 3800 3300 2800 2300 YieldSotik 1800 Highlands = -0.0228x2 + 16.517x + 3082.2, (R² = 0.9925), Max at 362 kg N ha-1 year-1 0 50 100 150 200 250 300 YieldKarirana = -0.0051x2 + 2.5375x + 3339.3, (R² = 0.7694), Max at 248 kg N ha-1 year-1 Fertilizer rates (kg N/ha/year) YieldChangoi = -0.0162x2 + 7.896x + 3993, (R² = 0.9752), Max at 244 kg N ha-1 year-1 YieldKipkebe = -0.0265x2 + 13.967x + 1995.4, (R² = 0.9858), Max at 263 kg N ha-1 year-1 YieldTimbilil = -0.022x2 + 9.9575x + 2376.5; (R² = 0.9261), Max at 226 kg N ha-1 year-1

Predicted Return (Kg Mt Kg N Ha -1 Year -1) of Applying Various Rates of Nitrogen at Different Geographical Areas of Tea Production in Kenya Rate of N (kg N ha -1 year -1 ) Kipkebe Sotik Highlands Karirana Changoi Timbilil 50 11.3 14.2 2.0 6.3 7.8 75 10.0 13.1 1.8 5.5 6.7 100 8.7 12.0 1.5 4.7 5.6 125 7.3 10.8 1.3 3.8 4.5 150 6.0 9.7 1.0 3.0 3.4 175 4.7 8.5 0.8 2.2 2.3 200 3.4 7.4 0.5 1.4 1.2 225 2.0 6.3 0.2 0.6 0.1 250 0.7 5.1 0.0-0.2-1.0 275-0.6 4.0-0.3-1.0-2.1 300-1.9 2.8-0.5-1.8-3.2

Effects of Geographical Area of Production and Nitrogenous Fertiliser Rates on Theaflavins and Thearubigins Levels of Clone BBK 35 Black Teas Parameter Location Rate of nitrogen (kg N/ha/year Mean location 0 75 150 225 300 Theaflavins Kipkebe 26.21 24.09 23.31 22.69 21.65 23.59 (µmol/g) Sotik Highlands 22.47 19.85 21.11 19.97 17.05 20.09 Thearubigi ns (%) Karirana 26.41 25.21 24.83 23.63 25.35 25.09 Changoi 26.71 25.85 24.48 25.56 24.58 25.44 Timbilil 25.04 24.04 23.68 23.49 22.02 23.66 Mean rate 25.37 23.81 23.48 23.07 22.13 CV (%) 13.50 LSD, (P < 0.05) 3.23 3.23 Kipkebe 17.86 17.94 16.75 15.00 14.67 16.44 Sotik Highlands 16.82 17.91 16.67 16.87 15.05 16.67 Karirana 16.53 16.88 15.82 15.64 15.09 15.99 Changoi 17.68 17.87 16.41 16.67 15.99 16.93 Timbilil 18.38 16.23 15.82 15.44 14.46 16.07 Mean rate 17.46 17.37 16.29 15.93 15.05 CV (%) 9.51 LSD, (P < 0.05) 1.58 NS

Effects of Geographical Area of Production and Plucking Intervals an Theaflavins and Thearubigins Levels of Clone BBK 35 Black Tea Paramete r Theaflavi ns (umol/g) Plucking round Site Mean plucking round Kipkebe Sotik Highlands Kariran a Changoi Timbilil 7 23.31 21.11 24.83 25.62 23.69 23.71 14 21.81 18.96 24.50 26.38 22.02 22.73 21 21.04 17.54 21.92 23.75 20.55 20.96 Mean site 22.06 19.20 23.75 25.25 22.09 Thearubi gins (%) CV (%) 5.69 LSD,( P < 0.05) 4.73 2.01 7 16.75 16.67 15.82 16.92 15.82 16.40 14 18.31 17.91 17.54 16.19 17.43 17.47 21 18.53 17.92 18.58 17.22 18.64 18.18 Mean site 17.86 17.50 17.31 16.78 17.30 CV (%) 5.58 LSD,( P < 0.05) NS 1.52

Umol/g Changes in Theaflavins Levels Due to Nitrogen Rates at Various Sites 26.5 24.5 22.5 20.5 Magura 18.5 Sotik Highlands Karirana 16.5 Changoi -10 40 90 140 190 Kg N ha/year 240 290 TFSotik Highlands= -0.0143x + 22.234, (R² = 0.7174) TFKipkebe = -0.014x + 25.694, (R² = 0.9406) TFTimbilil = -0.0088x + 24.972, (R² = 0.9109) TFKarirana = -0.0049x + 25.826 (R² = 0.3402) TFChangoi = -0.0061x + 26.346 (R² = 0.5989)

Effects of Geographical Area of Production and Plucking Intervals on Total Colour and Brightness of Clone BBK 35 Black Tea Parameter Total colour (Roberts) % Brightness (%) Plucking round Kipkebe Sotik Highlands Site Karirana Changoi Timbilil Mean plucking round 7 4.04 4.50 5.21 6.00 5.08 4.97 14 4.44 4.71 5.52 5.57 5.40 5.13 21 4.76 5.22 5.53 5.81 5.74 5.41 Mean site 4.41 4.81 5.42 5.79 5.41 CV (%) 5.56 LSD,( P < 0.05) NS 0.45 7 27.64 22.84 29.08 25.49 25.29 26.07 14 25.51 21.63 27.24 26.40 24.23 25.00 21 22.94 18.34 24.55 24.48 20.44 22.15 Mean site 25.36 20.94 26.96 25.46 23.32 CV (%) 6.14 LSD,( P < 0.05) NS 2.35

mg/10g dry weight 0 75 150 225 300 Mean Changes in Unsaturated Fatty Acids Levels in Tea Leaves Due Nitrogen Rates and Plucking Intervals Karirana Sotik Highlands Kipkebe m g / 1 0 g d r y w e i g h t 110 90 70 50 30 10 Kg N/ha/year 7 14 21 N-rates mean m g / 1 0 g d r y w e i g h t 90 70 50 30 10 kg N/ha/year m g / w 7 1 e 14 0 i 21 g g h N-rates mean d t r y 90 70 50 30 10 kg N/ha/year 7 14 21 N-rates mea Timbilil Changoi 100 90 80 70 60 50 40 30 20 10 7 14 21 N-rates mean 90 70 50 30 10 7 14 21 N-rates mean kg N/ha/year

Conclusions Even when one genotype is subjected to similar management in different regions, yields at one site are not maintained or replicated in the other sites. To realise high production genotypes should be tested in the intended areas of production before extensive plantation. This will identify geographical areas for which genotypes are most suited for realisation of high yields.

Conclusions Continue For the mean of the five sites, yields declined with long plucking intervals but this was not significant due to the conflicting responses as shown by the significant (P < 0.05) interaction effects between sites and plucking intervals

Conclusions Continue Except for theaflavins levels which significantly (P < 0.05) varied with geographical area of production, the other plain tea quality parameters did not significantly change. It is possible to make black teas from BBK 35 with similar thearubigins, brightness and colour within tea growing regions of Kenya. Short plucking intervals improved black tea quality at all major tea producing areas in Kenya

Recommendations Agronomic practices should be developed that are locational specific. All tea growing areas should practice short plucking intervals to enhance quality

ACKNOWLEDGEMENT Consortium for Research in Eas African Tropical Ecosystem (CREA THANK YOU